This commit is contained in:
2016-11-25 19:31:00 -08:00
commit 001a46260a
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lab2/CMakeLists.txt Normal file
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cmake_minimum_required(VERSION 3.5.1)
project(Lab2)
set(CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR})
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
set (CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
set(SOURCE_FILES main.cpp)
add_executable(Lab2 ${SOURCE_FILES})

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lab2/CS417_Lab2.pdf Normal file

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lab2/functions.hpp Normal file
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std::vector<double> c = {0.806,0.517,0.1,0.908,0.965,0.669,0.524,0.902,0.351,0.876,0.462,
0.491,0.463,0.741,0.352,0.869,0.813,0.811,0.0828,0.964,0.789,0.360,0.369,
0.992,0.332,0.817,0.632,0.883,0.608,0.326};
double a[][10] =
{
{9.681,0.667,4.783,9.095,3.517,9.325,6.544,0.211,5.122,2.02},
{9.4,2.041,3.788,7.931,2.882,2.672,3.568,1.284,7.033,7.374},
{8.025,9.152,5.114,7.621,4.564,4.711,2.996,6.126,0.734,4.982},
{2.196,0.415,5.649,6.979,9.510,9.166,6.304,6.054,9.377,1.426},
{8.074,8.777,3.467,1.863,6.708,6.349,4.534,0.276,7.633,1.567},
{7.650,5.658,0.720,2.764,3.278,5.283,7.474,6.274,1.409,8.208},
{1.256,3.605,8.623,6.905,4.584,8.133,6.071,6.888,4.187,5.448},
{8.314,2.261,4.24,1.781,4.124,0.932,8.129,8.658,1.208,5.762},
{0.226,8.858,1.42,0.954,1.622,4.698,6.228,9.096,0.972,7.637},
{7.305,2.228,1.242,5.928,9.133,1.826,4.06,5.204,8.713,8.247},
{0.652,7.027,0.508,4.876,8.807,4.632,5.808,6.937,3.291,7.016},
{2.699,3.516,5.847,4.119,4.461,7.496,8.817,0.69,6.593,9.789},
{8.327,3.897,2.017,9.57,9.825,1.15,1.395,3.885,6.354,0.109},
{2.132,7.006,7.136,2.641,1.882,5.943,7.273,7.691,2.88,0.564},
{4.707,5.579,4.08,0.581,9.698,8.542,8.077,8.515,9.231,4.67},
{8.304,7.559,8.567,0.322,7.128,8.392,1.472,8.524,2.277,7.826},
{8.632,4.409,4.832,5.768,7.05,6.715,1.711,4.323,4.405,4.591},
{4.887,9.112,0.17,8.967,9.693,9.867,7.508,7.77,8.382,6.74},
{2.44,6.686,4.299,1.007,7.008,1.427,9.398,8.48,9.95,1.675},
{6.306,8.583,6.084,1.138,4.350,3.134,7.853,6.061,7.457,2.258},
{0.652,2.343,1.37,0.821,1.31,1.063,0.689,8.819,8.833,9.07},
{5.558,1.272,5.756,9.857,2.279,2.764,1.284,1.677,1.244,1.234},
{3.352,7.549,9.817,9.437,8.687,4.167,2.57,6.54,0.228,0.027},
{8.798,0.88,2.37,0.168,1.701,3.68,1.231,2.39,2.499,0.064},
{1.46,8.057,1.337,7.217,7.914,3.615,9.981,9.198,5.292,1.224},
{0.432,8.645,8.774,0.249,8.081,7.461,4.416,0.652,4.002,4.644},
{0.679,2.8,5.523,3.049,2.968,7.225,6.73,4.199,9.614,9.229},
{4.263,1.074,7.286,5.599,8.291,5.2,9.214,8.272,4.398,4.506},
{9.496,4.83,3.15,8.27,5.079,1.231,5.731,9.494,1.883,9.732},
{4.138,2.562,2.532,9.661,5.611,5.5,6.886,2.341,9.699,6.5}
};
double schwefel(std::vector<double> input){
int upper_bound = 512;
int lower_bound = -512;
double sum = 0;
for (int i = 0; i < input.size(); i++){
sum += (-input[i]) * std::sin(std::sqrt(std::abs(input[i])));
}
return sum;
}
double first_de_jong(std::vector<double> input){
int upper_bound = 100;
int lower_bound = -100;
double sum = 0;
for (int i = 0; i < input.size(); i++){
sum += std::pow(input[i], 2);
}
return sum;
}
double rosenbrock(std::vector<double> input){
int upper_bound = 100;
int lower_bound = -100;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++){
sum += 100 * std::pow((std::pow(input[i], 2) - input[i + 1]), 2) + std::pow((1 - input[i]), 2);
}
return sum;
}
double rastrigin(std::vector<double> input){
int upper_bound = 30;
int lower_bound = -30;
double sum = 0;
for (int i = 0; i < input.size(); i++){
sum += std::pow(input[i], 2) - 10 * std::cos(2 * M_PI * input[i]);
}
sum *= 2 * input.size();
return sum;
}
double griewangk(std::vector<double> input){
int upper_bound = 500;
int lower_bound = -500;
double sum = 0;
for (int i = 0; i < input.size(); i++){
sum += std::pow(input[i], 2) / 4000;
}
double product = 1;
for (int i = 0; i < input.size(); i++){
product *= std::cos(input[i] / sqrt(i + 1));
}
return 1 + sum - product;
}
double sine_envelope_sine_wave(std::vector<double> input){
int upper_bound = 30;
int lower_bound = -30;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++){
sum += 0.5 + (std::pow(std::sin(std::pow(input[i], 2) + std::pow(input[i + 1], 2) - 0.5), 2)) /
(1 + 0.001 * (std::pow(input[i], 2) + std::pow(input[i + 1], 2)));
}
return sum;
}
double stretched_v_sine_wave(std::vector<double> input){
int upper_bound = 30;
int lower_bound = -30;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++){
sum += std::pow(std::pow(input[i], 2) + std::pow(input[i + 1], 2), 1.0 / 4) *
std::pow(std::sin(50 * std::pow(std::pow(input[i], 2) + std::pow(input[i + 1], 2), 1.0 / 10)), 2) + 1;
}
return sum;
}
double ackleys_one(std::vector<double> input){
int upper_bound = 32;
int lower_bound = -32;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++){
sum += (1.0 / pow(M_E, 0.2)) *
std::sqrt(std::pow(input[i], 2) + std::pow(input[i + 1], 2)) +
3 * std::cos(2 * input[i]) +
std::sin(2 * input[i + 1]);
}
return sum;
}
double ackleys_two(std::vector<double> input){
int upper_bound = 32;
int lower_bound = -32;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++){
sum += 20 + M_E -
(20 / (std::pow(M_E, 0.2) * std::sqrt(((std::pow(input[i], 2) + std::pow(input[i+1], 2) + 1) / 2)))) -
std::pow(M_E, 0.5 * std::cos(2 * M_PI * input[i]) + cos(2 * M_PI * input[i + 1]));
}
return sum;
}
double egg_holder(std::vector<double> input){
int upper_bound = 500;
int lower_bound = -500;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++) {
sum += -input[i] * std::sin(std::sqrt(abs(input[i] - input[i + 1] - 47))) -
(input[i + 1] + 47) * std::sin(std::sqrt(std::abs(input[i + 1] + 47 + input[i] / 2)));
}
return sum;
}
double rana(std::vector<double> input){
int upper_bound = 500;
int lower_bound = -500;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++) {
sum += input[i] * std::sin(std::sqrt(std::abs(input[i + 1] - input[i] + 1))) *
std::cos(std::sqrt(std::abs(input[i + 1] + input[i] + 1))) +
(input[i + 1] + 1) *
std::cos(std::sqrt(std::abs(input[i + 1] - input[i] + 1))) *
std::sin(std::sqrt(std::abs(input[i + 1] + input[i] + 1)));
}
return sum;
}
double pathological(std::vector<double> input){
int upper_bound = 100;
int lower_bound = -100;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++) {
sum += 0.5 +
(std::pow(std::sin(std::sqrt(100 * std::pow(input[i], 2) + std::pow(input[i + 1], 2))), 2) - 0.5) /
(1 + 0.001 * std::pow(std::pow(input[i], 2) - 2 * input[i] * input[i + 1] + std::pow(input[i + 1], 2), 2));
}
return sum;
}
double michalewicz(std::vector<double> input){
int upper_bound = M_PI;
int lower_bound = 0;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++) {
sum += std::sin(input[i]) * std::pow(std::sin(i * std::pow(input[i], 2) / M_PI), 20);
}
return -sum;
}
double masters_cosine_wave(std::vector<double> input){
int upper_bound = 30;
int lower_bound = -30;
double sum = 0;
for (int i = 0; i < input.size() - 1; i++) {
sum += std::pow(M_E, -(1/8) * (std::pow(input[i], 2) + std::pow(input[i + 1], 2) + 0.5 * input[i + 1] * input[i])) *
std::cos(4 * std::sqrt(std::pow(input[i], 2) + std::pow(input[i + 1], 2) + 0.5 * input[i] * input[i + 1]));
}
return -sum;
}
double shekels_foxholes(std::vector<double> input){
int upper_bound = 10;
int lower_bound = 0;
double sum = 0;
for (int i = 0; i < c.size() - 1; i++) {
double bottom_sum = 0;
for (int q = 0; q < input.size(); q++){
bottom_sum = std::pow(input.at(q) - a[i][q], 2);
}
sum += 1 / (bottom_sum + c[i]);
}
return -sum;
}
double set_within(double val, double prior_upper, double prior_lower, double after_upper, double after_lower){
return ((after_upper - after_lower) * (val - prior_lower) / (prior_upper - prior_lower)) + after_lower;
}
struct function {
double (*function_pointer)(std::vector<double>);
double range = 0;
double upper_bound = 0;
double lower_bound = 0;
timer t;
function(){};
function(double (*func)(std::vector<double>), double upper_bound, double lower_bound) {
function_pointer = func;
this->upper_bound = upper_bound;
this->lower_bound = lower_bound;
}
double compute(std::vector<double> input) {
for (auto v: input) {
if (v <= lower_bound && v >= upper_bound) {
std::cout << "Function exceeded bounds";
return 0;
}
}
double res = function_pointer(input);
return res;
};
// enum Test_Data {
// MEAN, MEDIAN, DEVIATION, AVG_TIME, DIMENSIONALIY, UPPER_RANGE, LOWER_RANGE
// };
//
// std::vector<double> random_walk(int dimensionality, int permutations){
//
// MTRand rng();
//
// std::vector<double> times;
// std::vector<double> vals;
//
// double best_value = 99999999999;
//
// t.start();
//
// for (int i = 0; i < permutations; i++) {
//
// std::vector<double> dimension_vals;
//
// for (int i = 0; i < dimensionality; i++) {
// dimension_vals.push_back(fmod(rand(), (upper_bound * 2)) + lower_bound);
// }
//
//
// double res = compute(dimension_vals);
// if (res < best_value){
// best_value = res;
// }
// }
//
// vals.push_back(best_value);
//
// t.end();
//
// times.push_back(t.duration());
//
// // Mean
// double mean = 0;
// for (double v: vals) {
// mean += v;
// }
// mean /= vals.size();
//
// // Median
// double median = vals[std::floor(vals.size() / 2)];
//
// // Standard Deviation
// double sum = 0;
// for (double v: vals) {
// sum += std::pow(v - mean, 2);
// }
// double deviation = std::sqrt(sum / vals.size());
//
// // Time Mean
// double time_mean = 0;
// for (double v: times) {
// time_mean += v;
// }
// time_mean /= times.size();
//
// // Range
// std::sort(vals.begin(), vals.end());
//
// double lower_range = vals.front();
// double upper_range = vals.back();
//
// std::map<Test_Data, double> ret;
//
// ret[Test_Data::DIMENSIONALIY] = dimensionality;
// ret[Test_Data::AVG_TIME] = time_mean;
// ret[Test_Data::DEVIATION] = deviation;
// ret[Test_Data::MEAN] = mean;
// ret[Test_Data::MEDIAN] = median;
// ret[Test_Data::UPPER_RANGE] = upper_range;
// ret[Test_Data::LOWER_RANGE] = lower_range;
//
// // std::cout << " & " << dimensionality << " & " << mean << " & " << median << " & " << deviation << " & "
// // << time_mean << " \\\\ \\hline" << std::endl;
//
// return ret;
// };
};

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#pragma once
#include "search_function.h"
class iterative_local_search : public search_function {
public:
iterative_local_search(function f) : search_function(f) {};
double search(int permutations, int dimensionality) {
// Set up random start
std::vector<double> global_best_solution;
for (int i = 0; i < dimensionality; i++) {
global_best_solution.push_back(fmod(randomMT(), (func.upper_bound * 2)) + func.lower_bound);
}
// 30 iteration max
int iteration_max = 30;
for (int i = 0; i < iteration_max; i++){
// Random new solution
std::vector<double> best_solution;
for (int i = 0; i < dimensionality; i++) {
best_solution.push_back(fmod(randomMT(), (func.upper_bound * 2)) + func.lower_bound);
}
std::vector<double> temp_solution = best_solution;
// While a better solution is still being found
bool better_solution_found = true;
while (better_solution_found) {
better_solution_found = false;
double delta = 0.11;
temp_solution = best_solution;
std::vector<double> new_solution(dimensionality);
// Set up the new solution
for (int i = 0; i < dimensionality; i++) {
temp_solution[i] += delta;
new_solution[i] = best_solution[i] - delta * (func.compute(temp_solution) - func.compute(best_solution));
temp_solution[i] = best_solution[i];
// temp[i] - delta * new with delta, and the old without
}
// test it
if (func.compute(new_solution) < func.compute(best_solution)) {
best_solution = new_solution;
better_solution_found = true;
}
}
// Check to see if we found a better global solution
if (func.compute(best_solution) < func.compute(global_best_solution)){
global_best_solution = best_solution;
}
}
};
};

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#pragma once
#include "search_function.h"
class local_search : public search_function {
public:
local_search(function f) : search_function(f) {
};
double search(int permutations, int dimensionality) {
// Set up the initial soution
std::vector<double> best_solution;
for (int i = 0; i < dimensionality; i++) {
best_solution.push_back(fmod(randomMT(), (func.upper_bound * 2)) + func.lower_bound);
}
std::vector<double> temp_solution = best_solution;
// While a better solution is being found
bool better_solution_found = true;
while (better_solution_found) {
better_solution_found = false;
double delta = 0.11;
temp_solution = best_solution;
std::vector<double> new_solution(dimensionality);
for (int i = 0; i < dimensionality; i++) {
temp_solution[i] += delta;
new_solution[i] = best_solution[i] - delta * (func.compute(temp_solution) - func.compute(best_solution));
temp_solution[i] = best_solution[i];
// temp[i] - delta * new with delta, and the old without
}
// Check to see if we found a better solution
if (func.compute(new_solution) < func.compute(best_solution)) {
best_solution = new_solution;
better_solution_found = true;
}
}
return func.compute(best_solution);
};
};

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#include <iostream>
#include <vector>
#include <cmath>
#include <map>
#include <chrono>
#include <cstring>
#include "twister.c"
#include "util.hpp"
#include "functions.hpp"
#include "random_walk.hpp"
#include "local_search.hpp"
#include "iterative_local_search.hpp"
// for each i in demension vals:
// new solution[i] = best[i] - delta *(f(new) - f(old))
//
// if new solution better, set it as solution
int main(int argc, char* args[]) {
std::map<int, function> function_lookup;
function_lookup.emplace(std::make_pair(0, function(&schwefel, 512, -512)));
function_lookup.emplace(std::make_pair(1, function(&first_de_jong, 100, -100)));
function_lookup.emplace(std::make_pair(2, function(&rosenbrock, 100, -100)));
function_lookup.emplace(std::make_pair(3, function(&rastrigin, 30, -30)));
function_lookup.emplace(std::make_pair(4, function(&griewangk, 500, -500)));
function_lookup.emplace(std::make_pair(5, function(&sine_envelope_sine_wave, 30, -30)));
function_lookup.emplace(std::make_pair(6, function(&stretched_v_sine_wave, 30, -30)));
function_lookup.emplace(std::make_pair(7, function(&ackleys_one, 32, -32)));
function_lookup.emplace(std::make_pair(8, function(&ackleys_two, 32, -32)));
function_lookup.emplace(std::make_pair(9, function(&egg_holder, 500, -500)));
function_lookup.emplace(std::make_pair(10, function(&rana, 500, -500)));
function_lookup.emplace(std::make_pair(11, function(&pathological, 100, -100)));
function_lookup.emplace(std::make_pair(12, function(&michalewicz, M_PI, 0)));
function_lookup.emplace(std::make_pair(13, function(&masters_cosine_wave, 30, -30)));
function_lookup.emplace(std::make_pair(14, function(&shekels_foxholes, 10, 0)));
function f;
int dimensionality = 0;
double seed = 0;
int search_function = 0;
// Get the command line args
if (argc == 1){
char arg_str[200];
std::cin.get(arg_str, 200);
char t = ' ';
f = function_lookup[atoi(strtok(arg_str, &t))];
dimensionality = atoi(strtok(NULL, &t));
seed = atoi(strtok(NULL, &t));
search_function = atoi(strtok(NULL, &t));
} else {
f = function_lookup[atoi(args[1])];
dimensionality = atoi(args[2]);
seed = atoi(args[3]);
search_function = atoi(args[4]);
}
// Set up the search functions
seedMT(seed);
random_walk r_w(f);
local_search l_s(f);
iterative_local_search it_s(f);
// return the results of the search
if (search_function == 0)
std::cout << r_w.search(1, dimensionality) << std::endl;
else if (search_function == 1)
std::cout << l_s.search(1, dimensionality) << std::endl;
else if (search_function == 2)
std::cout << it_s.search(1, dimensionality) << std::endl;
return 0;
}

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#pragma once
#include "search_function.h"
#include <algorithm>
class random_walk : public search_function {
public:
random_walk(function f) : search_function(f) {
}
double search(int permutations, int dimensionality) {
timer t;
t.start();
std::vector<double> r;
for (int i = 0; i < permutations; i++){
std::vector<double> dimension_vals;
for (int i = 0; i < dimensionality; i++) {
auto val = fmod(randomMT(), (func.upper_bound * 2)) + func.lower_bound;
dimension_vals.push_back(fmod(randomMT(), (func.upper_bound * 2)) + func.lower_bound);
}
r.push_back(func.compute(dimension_vals));
}
t.end();
std::sort(r.begin(), r.end(), std::less<double>());
return r[0];
}
};

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import matplotlib.pyplot as plt
plt.plot([
7.08019,
7.76125,
7.78901,
6.86725,
6.89327,
6.66617,
6.62795,
6.89146,
7.93945,
6.32002,
6.37838,
6.39102,
6.52912,
6.13898,
6.46143,
6.20752,
6.24721,
7.4823,
7.44849,
7.1168,
6.44656,
7.13644,
7.83785,
6.90917,
6.41901,
6.83155,
6.60604,
7.09917,
6.27536,
6.07117
])
plt.plot([
7.08019,
7.08019,
7.08019,
6.86725,
6.86725,
6.66617,
6.62795,
6.62795,
6.62795,
6.32002,
6.32002,
6.32002,
6.32002,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.13898,
6.07117
])
plt.title("Sine Envelope Sine Wave")
plt.show()

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import matplotlib.pyplot as plt
plt.plot([
-8.69983,
-8.69546,
-7.02473,
-8.70105,
-8.74989,
-8.83741,
-8.26651,
-8.83748,
-8.65732,
-8.85348,
-8.6054,
-8.8361,
-8.53024,
-8.33546,
-8.64118,
-8.82631,
-8.7925,
-8.7356,
-8.81997,
-8.72815,
-8.80891,
-8.55486,
-8.83265,
-8.75692,
-8.82736,
-8.76921,
-8.76973,
-8.60752,
-8.8201,
-8.84716
])
plt.plot([
-8.69983,
-8.69546,
-8.69546,
-8.70105,
-8.74989,
-8.83741,
-8.83741,
-8.83748,
-8.83748,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348,
-8.85348
])
plt.title("Pathological Function")
plt.show()

1
lab2/results/out Normal file
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dim=10

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from subprocess import check_output
import subprocess
import random
import matplotlib.pyplot as plt
import time
random.seed()
loc = "../build/Lab2"
f = open('out','w')
function = "1"
print("dim=10")
f.write("dim=10\n")
for q in range(0, 30):
subprocess.call([
loc,
str(13),
str(10),
str(random.randint(0, 2147483646)),
function
])
#print("dim=10")
#f.write("dim=10\n")
#for q in range(0, 15):
# if q == 4 or q == 12:
# continue
# print(q)
# start = time.time()
#
# subprocess.call([
# loc,
# str(q),
# str(10),
# str(random.randint(0, 2147483646)),
# function
# ])
#
# end = time.time()
# f.write(str(end-start) + "\n")
# print(end - start)
#
#print("dim=20")
#f.write("dim=20\n")
#for q in range(0, 15):
# if q == 4 or q == 12:
# continue
# print(q)
# start = time.time()
#
# subprocess.call([
# loc,
# str(q),
# str(20),
# str(random.randint(0, 2147483646)),
# function
# ])
#
# end = time.time()
# f.write(str(end-start) + "\n")
# print(end - start)
#print("dim=30")
#f.write("dim=30\n")
#for q in range(0, 15):
# if q == 4:
# continue
# print(q)
# start = time.time()
#
# subprocess.call([
# loc,
# str(q),
# str(30),
# str(random.randint(0, 2147483646)),
# function
# ])
#
# end = time.time()
# f.write(str(end-start) + "\n")
# print(end - start)
f.close()

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\relax
\providecommand*\new@tpo@label[2]{}
\select@language{english}
\@writefile{toc}{\select@language{english}}
\@writefile{lof}{\select@language{english}}
\@writefile{lot}{\select@language{english}}
\@writefile{toc}{\contentsline {section}{\numberline {1}Introduction}{1}}
\@writefile{toc}{\contentsline {section}{\numberline {2}Methods}{1}}
\@writefile{toc}{\contentsline {section}{\numberline {3}Analysis}{1}}
\@writefile{toc}{\contentsline {section}{\numberline {4}Conclusion}{2}}
\@writefile{toc}{\contentsline {section}{\numberline {5}Results}{4}}
\@writefile{toc}{\contentsline {section}{\numberline {6}Previous Results}{14}}

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\documentclass[paper=a4, fontsize=11pt]{scrartcl}
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\normalfont \normalsize \textsc{Central Washington University of the Computer Science Department} \\ [25pt]
\horrule{0.5pt} \\[0.4cm]
\huge Project 2 \\
\horrule{2pt} \\[0.5cm]
}
\author{\normalsize Mitchell Hansen \\[-6pt]}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}
\maketitle
\section{Introduction}
For this lab we took the 15 functions that we programmed in the previous
lab and ran them through 3 different optimization functions, each more
accurate than the previous. We have random search, which blindly tests
randomized solutions looking for an optimum. Secondly we have local search,
which takes an initial randomized solution and then attempts to optimize it
until it's at its minimum. Thirdly we have iterative local search, which
combines the two previous functions.
\section{Methods}
A significant portion of the code from the previous lab was rewritten to
allow the functions and search methods to be run from the command line.
Arguments specifying the dimensionality of the solution, id of the function,
id of the search method, and a seed are all handled by the program. Using
this backbone, we wrote a trivial python script that executes each search
method on all of the 15 functions being tested for each dimensionality.
There currently is an issue with run times being significant for a select
few functions on high dimensionalties. As a result some data points have
been omitted.
\section{Analysis}
There were various interesting results both in the new data, what the new
functions were able to find in terms of minimums, and how close some data
points got to the last lab where the search was purely random.
Comparing the new data from the Iterative Local Search (ILS) and the Local
Search (LS) with the previous results, we see that the purely naive method
that we used previously is actually quite sufficient for a few select functions,
namely: Sine Envelope Sine Wave, Pathological, Rosenbrok, and Ackleys
Two functions. Each of these functions evaluated to very similar solutions
in all three methods, naive, ILS and LS. Often being within 10\% of each other.
The differences between the two new methods used in this lab, ILS and LS
are mainly negligible in their cumulative accuracy. There are
some examples where the search methods differ more than others. Griegwangk
and Egg Holder differ the most between the two methods, with a 100 - 200 \%
difference seen between the methods. For single runs of the functions though,
ILS is superior to LS as can be seen in the graphics below for two separate
runs of ILS on differing functions. The top line being the single run results,
and the bottom being the running best solution.
\scalebox{0.4}{\includegraphics{figure_1}}
\scalebox{0.4}{\includegraphics{figure_2}}
There were also a few problems with the experimentation, one being the fact that
we neglected the fact that the delta value within the LS and ILS functions could
throw the function outside of its specified bounds. The implementation checked
each of these bounds each function call, but only returned 0 if it exceeded them.
Thus some results have erroneous values of either 0 or some other integer value.
Another problem, as mentioned again in the conclusion, is the run time of these
search methods. In particular, function 5 and 13 ran extremely slow. Slow enough
for the results having to be omitted as it would take longer to obtain the results
than we have time for the lab. We hope to speed up the implementation prior to the
next lab and include those results then.
All testing was done on an i7-3630QM with 16GB ram using a single thread.
Complete results can be viewed in the sections below.
\section{Conclusion}
The search functions in this lab seem to behave much more accurately than the
random search in the previous lab. Not only are the new functions seemingly accurate,
but they also appear to repeat their values consistently giving the appearance that
they are coming up with a somewhat correct answer. Unfortunately, it seems where these
new functions fall down is in their performance. In the 30 dimension trials for this lab,
there were multiple functions where results had to be omitted because of running time issues.
Some taking up to multiple hours to run for their full permutation count. We hope to see
functions which take care of these issues in the upcoming labs.
\section{Results}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Random Search, 10 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -1223.19 & 13286 & 3.18E+09 & 24260 & 114.244 & 5.52567 & 18.2586 & 154.502 & 145.101 & -1714.21 & -1147.36 & 3.95561 & -1.64259 & -3.31459 & -19.1981 \\
& -1399.06 & 19906 & 1.96E+09 & 16700 & 90.6946 & 6.07905 & 20.4112 & 102.177 & 142.077 & -1648.81 & -1560.96 & 4.09041 & -1.39102 & -4.9016 & -19.1981 \\
& -1010.48 & 14917 & 6.76E+09 & 24520 & 51.8071 & 6.28399 & 21.7189 & 125.452 & 138.122 & -1661.62 & -1122.59 & 4.06708 & -1.34332 & -5.57971 & -19.1981 \\
& -1934.21 & 13942 & 4.96E+09 & 29540 & 122.229 & 5.67277 & 19.682 & 123.082 & 139.72 & -2343.48 & -1408.66 & 4.03919 & -1.86534 & -4.43512 & -19.1981 \\
& -794.372 & 14642 & 3.77E+09 & 19260 & 51.4992 & 5.64587 & 17.3606 & 130.231 & 146.019 & -1927.46 & -1392.74 & 4.02665 & -0.919067 & -2.9242 & -19.1981 \\
& -1431.49 & 10213 & 5.51E+09 & 15600 & 99.3078 & 6.37517 & 19.3915 & 106.105 & 147.534 & -1693.06 & -1590.86 & 3.81288 & -1.94752 & -4.41244 & -19.1981 \\
& -1222.58 & 14061 & 6.24E+09 & 27600 & 61.8407 & 5.95916 & 21.8219 & 134.971 & 138.811 & -1120.32 & -1274.41 & 3.90444 & -0.949296 & -5.21336 & -19.1981 \\
& -1659.45 & 14265 & 3.86E+09 & 12040 & 77.3118 & 6.59486 & 19.6264 & 107.374 & 137.152 & -2115.97 & -1151.79 & 3.9272 & -2.01492 & -4.14032 & -10.3861 \\
& -1495.15 & 16757 & 7.43E+09 & 29540 & 90.1975 & 5.82742 & 17.0893 & 118.252 & 133.507 & -1385.32 & -1145.69 & 4.03879 & -1.59431 & -4.89982 & -19.1981 \\
& -869.356 & 16426 & 4.32E+09 & 32060 & 34.4248 & 5.79818 & 19.4186 & 111.549 & 133.483 & -1677.77 & -859.394 & 4.00669 & -0.948425 & -5.22481 & -13.4604 \\
& -1039.51 & 18099 & 3.32E+09 & 34560 & 91.9329 & 6.26357 & 21.1327 & 114.807 & 140.81 & -1668.54 & -1128.23 & 4.07449 & -1.05552 & -3.01325 & -19.1981 \\
& -919.612 & 12176 & 6.94E+09 & 25180 & 90.0024 & 6.26924 & 16.2619 & 113.944 & 128.653 & -2016.45 & -873.684 & 4.06288 & -1.4206 & -4.45688 & -19.1981 \\
& -1506.41 & 14320 & 5.21E+08 & 31120 & 108.815 & 6.47541 & 18.8506 & 92.2691 & 142.909 & -2022.87 & -1605.81 & 4.00233 & -1.76635 & -2.84643 & -19.1981 \\
& -1418.55 & 20724 & 2.01E+09 & 26780 & 82.2471 & 6.03665 & 19.3898 & 106.227 & 133.068 & -2409.09 & -1688.21 & 4.16777 & -2.26334 & -4.32598 & -19.1981 \\
& -1011.89 & 18565 & 7.75E+09 & 23560 & 95.8855 & 6.32915 & 17.2525 & 114.955 & 133.399 & -3479.56 & -988.721 & 4.03036 & -1.32162 & -4.01327 & -19.1981 \\
& -1408.31 & 15157 & 5.16E+09 & 23300 & 85.4808 & 5.70288 & 18.6271 & 150.783 & 138.84 & -2023.31 & -1078.79 & 4.00918 & -1.95085 & -4.44009 & -19.1981 \\
& -748.024 & 23811 & 2.54E+09 & 18940 & 147.794 & 5.43586 & 20.034 & 137.888 & 138.61 & -2389.56 & -1342.49 & 3.70141 & -1.36667 & -4.68997 & -19.1981 \\
& -1638.56 & 18165 & 5.13E+08 & 15660 & 116.448 & 5.86329 & 18.6616 & 114.843 & 144.891 & -2692.09 & -1348.9 & 4.1051 & -2.70373 & -4.78687 & -19.1981 \\
& -840.918 & 20571 & 5.90E+09 & 29040 & 88.0594 & 6.07913 & 21.4554 & 108.89 & 148.508 & -1373.66 & -709.318 & 4.16242 & -1.27512 & -3.5624 & -19.1981 \\
& -918.388 & 19467 & 5.67E+09 & 18540 & 86.3758 & 5.50249 & 16.6631 & 117.034 & 138.953 & -1841.87 & -1118.65 & 4.05446 & -1.43019 & -4.92021 & -19.1981 \\
& -1914.4 & 14579 & 4.51E+09 & 35380 & 112.945 & 6.45106 & 17.4196 & 113.865 & 137.99 & -1295.97 & -1449.41 & 4.04415 & -1.21765 & -3.82571 & -19.1981 \\
& -1152.74 & 16613 & 8.29E+09 & 27140 & 93.3062 & 6.2383 & 18.8128 & 120.968 & 143.59 & -1384.85 & -1405.02 & 4.21014 & -0.963691 & -5.42752 & -13.344 \\
& -1484.78 & 18381 & 5.35E+09 & 36160 & 58.6201 & 6.30713 & 17.9042 & 130.23 & 135.182 & -1930.82 & -1426.85 & 4.00492 & -1.37802 & -4.93164 & -19.1981 \\
& -1049.66 & 8486 & 3.92E+09 & 19580 & 112.332 & 6.55806 & 19.9514 & 141.112 & 135.308 & -1799.74 & -884.562 & 4.23598 & -2.511 & -3.99085 & -13.4604 \\
& -1093.92 & 16661 & 6.44E+09 & 24500 & 92.3324 & 6.30898 & 20.232 & 121.163 & 130.104 & -1710.14 & -967.321 & 4.06013 & -2.29801 & -6.0234 & -19.1981 \\
& -1412.25 & 18188 & 5.81E+09 & 26880 & 109.978 & 5.70144 & 13.2134 & 90.171 & 134.353 & -1785.93 & -819.994 & 3.77693 & -1.0307 & -5.92079 & -19.1981 \\
& -1186.11 & 13189 & 3.77E+09 & 19320 & 106.128 & 6.27975 & 18.8899 & 136.097 & 146.582 & -1703.69 & -1298.35 & 3.73847 & -0.944601 & -3.52666 & -19.1981 \\
& -1356.38 & 18343 & 2.37E+09 & 13500 & 65.7106 & 5.97634 & 21.5128 & 115.854 & 140.762 & -2070.81 & -1319.27 & 4.18465 & -1.24715 & -5.7363 & -19.1981 \\
& -1528.85 & 17689 & 1.03E+10 & 18840 & 107.888 & 6.00707 & 15.2945 & 94.1472 & 144.7 & -3449.27 & -1375.83 & 4.14164 & -1.64993 & -3.02796 & -19.1981 \\
& -1063.76 & 15783 & 2.62E+09 & 32600 & 97.6585 & 6.46626 & 22.6138 & 123.843 & 131.62 & -1700.03 & -1291.51 & 4.01155 & -1.00427 & -4.24119 & -19.1981 \\
\hline \\
Avg. & -1257.7453333333 & 16246.0666666667 & 4.72E+09 & 2.44E+04 & 9.14E+01 & 6.07E+00 & 1.90E+01 & 1.19E+02 & 1.39E+02 & -1.93E+03 & -1.23E+03 & 4.02E+00 & -1.51E+00 & -4.43E+00 & -1.83E+01 \\
Med. & -1222.885 & 16519.5 & 4735540000 & 24510 & 92.13265 & 6.07909 & 19.13985 & 116.444 & 138.8255 & -1792.835 & -1282.96 & 4.03899 & -1.38452 & -4.437605 & -19.1981 \\
Std. Dev. & 315.9494375281 & 3243.999978032 & 2288019739.0926 & 6682.1279905999 & 24.08152579 & 0.3362814731 & 2.0863159585 & 15.7480637114 & 5.4144432384 & 542.1878355628 & 253.2605529849 & 0.1313044821 & 0.4955181247 & 0.901789508 & 2.3117761941 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Random Search, 20 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -1910.87 & 40054 & 1.87E+10 & 122800 & 316.532 & 13.3092 & 54.0294 & 272.443 & 302.424 & -4041.92 & -1817.15 & 8.84883 & -2.46942 & -5.56505 & -12.4756 \\
& -1696.99 & 45772 & 7.63E+09 & 147520 & 297.122 & 14.295 & 50.705 & 272.861 & 303.698 & -4286.27 & -2370.93 & 8.81079 & -1.86537 & -5.17117 & -14.6404 \\
& -3381.59 & 40944 & 1.07E+10 & 111960 & 261.007 & 14.2375 & 48.5996 & 293.562 & 312.574 & -2033.17 & -1370.09 & 7.86544 & -1.92465 & -5.47614 & -14.6404 \\
& -2309.24 & 43289 & 2.03E+10 & 114080 & 249.051 & 13.181 & 46.7492 & 254.37 & 312.802 & -2243.62 & -1637.31 & 8.75968 & -3.27363 & -7.05667 & -14.6404 \\
& -3308.55 & 45667 & 1.77E+10 & 98840 & 258.288 & 13.4705 & 48.7221 & 303.815 & 317.885 & -2736.5 & -1716.73 & 8.69769 & -2.13134 & -8.56678 & -14.6404 \\
& -1776.1 & 35152 & 1.97E+10 & 128360 & 282.098 & 14.0992 & 49.7351 & 295.107 & 293.715 & -3083.96 & -1337.39 & 8.904 & -2.72989 & -4.97279 & -14.6404 \\
& -2495.52 & 42321 & 1.55E+10 & 149040 & 314.038 & 12.2785 & 48.4086 & 311.61 & 312.538 & -2241.98 & -1953.24 & 8.84628 & -2.22338 & -5.40834 & -14.6404 \\
& -1753.65 & 54835 & 2.34E+10 & 144560 & 253.313 & 14.0274 & 52.4705 & 265.832 & 306.999 & -2809.58 & -1617.48 & 9.03187 & -2.36168 & -7.64268 & -14.6404 \\
& -1574.77 & 42698 & 1.66E+10 & 105920 & 253.962 & 13.7941 & 47.9362 & 205.073 & 314.335 & -3135.48 & -1120.02 & 8.97631 & -1.76927 & -7.50096 & -12.4756 \\
& -2206.58 & 47544 & 1.38E+10 & 92400 & 267.474 & 12.5201 & 50.5015 & 300.654 & 299.266 & -2352.88 & -1563.85 & 8.57557 & -1.90659 & -4.65802 & -14.6404 \\
& -2159.17 & 27230 & 1.29E+10 & 135280 & 252.351 & 13.261 & 45.9535 & 202.094 & 304.092 & -3073.25 & -2085.45 & 8.53621 & -1.87303 & -8.01815 & -14.6404 \\
& -2138.87 & 42123 & 1.63E+10 & 172680 & 271.911 & 13.2188 & 44.2571 & 238.99 & 310.573 & -2373.5 & -1490.61 & 8.82391 & -1.49354 & -5.60778 & -14.6404 \\
& -1491.32 & 41559 & 1.57E+10 & 120560 & 264.467 & 14.7017 & 49.9226 & 270.661 & 314.715 & -4606.54 & -1594.99 & 8.57499 & -2.34868 & -6.03643 & -12.4756 \\
& -1716.67 & 43371 & 1.96E+10 & 146160 & 256.312 & 13.2972 & 47.8418 & 296.121 & 299.162 & -2949.32 & -1714.88 & 8.94451 & -1.42826 & -7.75141 & -14.6404 \\
& -1353.62 & 30573 & 2.00E+10 & 160960 & 304.457 & 13.6341 & 44.8636 & 281.098 & 302.466 & -2253.05 & -1586.38 & 8.79012 & -3.8665 & -4.02897 & -14.6404 \\
& -1876.11 & 37188 & 1.04E+10 & 89680 & 268.29 & 12.9539 & 43.9137 & 251.274 & 294.581 & -3173.41 & -1092.65 & 8.51772 & -2.85364 & -4.28 & -14.6404 \\
& -1933.32 & 34504 & 2.32E+10 & 145600 & 255.038 & 14.1056 & 52.7792 & 271.035 & 300.68 & -3193.08 & -1565.67 & 8.89243 & -1.22167 & -6.49108 & -14.6404 \\
& -1778.81 & 32208 & 1.21E+10 & 164080 & 250.116 & 13.5012 & 48.5518 & 321.977 & 304.95 & -2310.76 & -1192.91 & 8.99516 & -2.24735 & -3.84925 & -14.6404 \\
& -1429.94 & 42230 & 1.93E+10 & 139160 & 279.049 & 14.2125 & 47.4455 & 275.462 & 308.209 & -2107.31 & -2552.48 & 8.58813 & -1.87343 & -8.05159 & -14.6404 \\
& -1987.26 & 40385 & 2.04E+10 & 151400 & 276.766 & 12.8164 & 53.0487 & 282.964 & 315.214 & -2678.56 & -2387 & 8.6457 & -3.03476 & -6.09081 & -14.6404 \\
& -1213.51 & 37332 & 1.51E+10 & 158560 & 261.681 & 13.675 & 47.6498 & 259.175 & 303.699 & -2531.58 & -1766.16 & 8.84001 & -2.59238 & -3.25015 & -12.4756 \\
& -1695.59 & 32437 & 1.90E+10 & 128640 & 275.131 & 13.0249 & 46.3462 & 248.083 & 306.287 & -2644.79 & -1901.53 & 8.95061 & -2.73942 & -4.03195 & -14.6404 \\
& -1844.9 & 40572 & 2.06E+10 & 166080 & 249.066 & 14.0993 & 44.662 & 267.558 & 302.1 & -2844.67 & -2131.51 & 9.07241 & -1.88671 & -4.71827 & -14.6404 \\
& -2039.62 & 48632 & 1.87E+10 & 138960 & 245.71 & 13.6312 & 38.0255 & 275.48 & 312.316 & -1829.93 & -2004.13 & 8.91483 & -1.52482 & -8.56454 & -14.6404 \\
& -1689.48 & 44937 & 1.61E+10 & 124600 & 282.54 & 13.3536 & 45.8805 & 290.598 & 305.559 & -2133.36 & -1566.78 & 8.72377 & -3.27145 & -6.96928 & -14.6404 \\
& -1633.96 & 51091 & 1.63E+10 & 117000 & 229.145 & 13.471 & 45.3704 & 307.327 & 311.438 & -1961.85 & -2460.35 & 8.80427 & -2.06181 & -7.33068 & -14.6404 \\
& -2439.89 & 45380 & 7.91E+09 & 140880 & 310.028 & 13.7849 & 39.4548 & 280.565 & 301.484 & -3402.53 & -2003.01 & 8.76709 & -2.71809 & -5.60029 & -14.6404 \\
& -2364.89 & 38298 & 1.23E+10 & 145760 & 238.505 & 14.0388 & 46.8051 & 290.425 & 309.168 & -2827.15 & -1049.02 & 8.70034 & -2.46217 & -7.9223 & -14.6404 \\
& -1855.61 & 47187 & 1.06E+10 & 137680 & 248.9 & 13.9612 & 48.5063 & 302.025 & 305.866 & -2152.73 & -1918.95 & 8.4452 & -2.47409 & -6.79521 & -12.4756 \\
& -1260.76 & 46347 & 1.16E+10 & 130600 & 281.027 & 13.9532 & 49.979 & 252.528 & 301.864 & -1840.58 & -1860.37 & 8.04923 & -2.63026 & -7.00734 & -14.6404 \\
\hline \\
Avg. & -1943.9053333333 & 41395.3333333333 & 1.61E+10 & 1.34E+05 & 2.68E+02 & 1.36E+01 & 4.76E+01 & 2.75E+02 & 3.06E+02 & -2.73E+03 & -1.75E+03 & 8.73E+00 & -2.31E+00 & -6.15E+00 & -1.43E+01 \\
Med. & -1850.255 & 42176.5 & 16269000000 & 138320 & 263.074 & 13.63265 & 47.889 & 275.471 & 305.7125 & -2661.675 & -1715.805 & 8.797195 & -2.298015 & -6.06362 & -14.6404 \\
Std. Dev. & 503.7270251575 & 6204.5677408321 & 4287970694.60419 & 21553.682353336 & 22.5100649673 & 0.5550063904 & 3.5839928835 & 28.0219424426 & 6.1634317364 & 693.8827057417 & 399.7555341973 & 0.2654236567 & 0.6045133055 & 1.5251158054 & 0.8205653224 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Random Search, 30 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -2360.73 & 76232 & 3.56E+10 & 354540 & 429.015 & 21.1792 & 78.9986 & 444.386 & 468.28 & -3685.03 & -2174.65 & 13.6966 & -3.39811 & -7.7131 & -18.886 \\
& -2223.96 & 77130 & 2.33E+10 & 427440 & 482.271 & 21.4306 & 78.5455 & 477.565 & 481.841 & -3105.05 & -1719.81 & 13.3772 & -2.28782 & -5.96241 & -18.886 \\
& -2310.43 & 79924 & 2.53E+10 & 381060 & 438.418 & 22.4267 & 85.9081 & 431.309 & 476.297 & -2717.31 & -3512.41 & 13.4609 & -2.95267 & -9.47434 & -18.886 \\
& -1233.77 & 74245 & 3.11E+10 & 405060 & 500.971 & 20.6669 & 77.8205 & 460.647 & 478.937 & -3095.92 & -2547.58 & 13.8835 & -3.62638 & -9.1978 & -18.886 \\
& -1528.18 & 72335 & 3.46E+10 & 407400 & 480.637 & 21.006 & 85.0255 & 492.562 & 464.278 & -5541.45 & -2344.66 & 13.9109 & -2.60874 & -9.66453 & -13.3197 \\
& -1924.52 & 62337 & 2.96E+10 & 350940 & 400.405 & 21.2461 & 72.6017 & 482.764 & 483.487 & -3317.2 & -2334.39 & 13.194 & -2.35764 & -10.1073 & -18.886 \\
& -2423.33 & 65161 & 2.41E+10 & 257700 & 455.803 & 21.3956 & 79.6323 & 453.521 & 483.905 & -2929.27 & -3939.27 & 13.9277 & -2.81222 & -11.1674 & -18.886 \\
& -3297.71 & 56282 & 2.22E+10 & 333720 & 423.001 & 21.1405 & 72.1825 & 455.991 & 472.822 & -3685.92 & -2244.92 & 13.5072 & -3.4393 & -8.00828 & -13.3197 \\
& -2605.99 & 55514 & 2.99E+10 & 258960 & 432.783 & 20.5493 & 77.5907 & 487.188 & 468.534 & -2270.3 & -1770.48 & 13.8159 & -2.20179 & -7.3187 & -18.886 \\
& -2324.67 & 56507 & 3.57E+10 & 321720 & 497.616 & 21.1693 & 81.6804 & 548.596 & 472.64 & -4354.96 & -2232.69 & 13.4288 & -3.11785 & -9.96651 & -18.886 \\
& -3097.93 & 68919 & 3.54E+10 & 281160 & 311.272 & 21.3644 & 76.7997 & 473.195 & 482.708 & -3184.8 & -1491.68 & 13.6581 & -4.08066 & -11.396 & -18.886 \\
& -1810.75 & 74399 & 2.33E+10 & 325980 & 488.695 & 20.1705 & 79.5259 & 425.339 & 467.469 & -3514.4 & -2784.74 & 13.3882 & -2.20352 & -5.85588 & -13.3197 \\
& -2695.32 & 74130 & 2.86E+10 & 286740 & 445.725 & 21.7638 & 78.5654 & 443.915 & 465.322 & -3661.35 & -2224.44 & 13.7479 & -2.58372 & -8.03162 & -18.886 \\
& -1394.7 & 45078 & 4.43E+10 & 366540 & 392.949 & 19.8834 & 78.3782 & 443.771 & 474.73 & -2292.49 & -2073.16 & 13.8387 & -1.60751 & -8.19351 & -18.886 \\
& -2988.33 & 76470 & 3.30E+10 & 356040 & 403.55 & 22.1061 & 66.4539 & 479.545 & 474.343 & -5213 & -2393.19 & 13.621 & -1.97457 & -7.41504 & -18.886 \\
& -2107.9 & 64868 & 2.55E+10 & 335760 & 315.955 & 21.3366 & 76.1817 & 456.456 & 475.502 & -3594.52 & -1990.68 & 13.2762 & -1.95789 & -9.20082 & -18.886 \\
& -2979.51 & 66791 & 3.77E+10 & 300600 & 476.424 & 22.0409 & 79.8235 & 481.37 & 480.499 & -3226.79 & -2044.33 & 13.4292 & -3.30836 & -8.31641 & -18.886 \\
& -2513.73 & 63196 & 2.56E+10 & 378900 & 308.324 & 22.2978 & 73.8612 & 430.727 & 475.581 & -3321.28 & -2602.19 & 13.2479 & -3.04897 & -7.98816 & -18.886 \\
& -1622.69 & 62073 & 2.68E+10 & 370080 & 453.052 & 21.0996 & 80.359 & 480.134 & 477.041 & -3560.86 & -2227.66 & 13.4122 & -2.65343 & -9.57417 & -13.3197 \\
& -898.919 & 71119 & 3.36E+10 & 275400 & 394.268 & 21.1665 & 76.3499 & 475.151 & 482.187 & -3499.9 & -2010.88 & 13.8071 & -1.77653 & -6.50943 & -18.886 \\
& -2228.64 & 59344 & 2.66E+10 & 365520 & 446.585 & 21.9857 & 81.2511 & 473.327 & 469.027 & -4350.96 & -2530.21 & 13.1101 & -2.27438 & -6.5663 & -18.886 \\
& -2524.28 & 70564 & 2.93E+10 & 375960 & 467.46 & 20.6626 & 76.0828 & 458.589 & 473.993 & -3010.55 & -2107.52 & 13.5724 & -2.93552 & -3.36125 & -13.3197 \\
& -2141.75 & 69544 & 3.38E+10 & 275040 & 410.104 & 20.1186 & 72.5838 & 471.886 & 472.222 & -2617.06 & -2105.35 & 13.348 & -2.82033 & -5.74818 & -18.886 \\
& -2203.34 & 72793 & 3.62E+10 & 380220 & 406.591 & 22.0699 & 71.4693 & 407.417 & 484.37 & -2650.34 & -2240.99 & 13.9337 & -1.66277 & -8.93489 & -18.886 \\
& -1836.75 & 73045 & 3.98E+10 & 379800 & 514.007 & 22.242 & 79.9503 & 478.007 & 471.384 & -4044.69 & -2652.98 & 13.6287 & -2.44844 & -7.85381 & -18.886 \\
& -1787.41 & 50713 & 3.85E+10 & 296100 & 445.226 & 20.0734 & 76.9451 & 459.307 & 448.98 & -3725.34 & -1302.85 & 13.9199 & -2.28859 & -7.12064 & -18.886 \\
& -3185.05 & 70905 & 2.69E+10 & 374640 & 424.633 & 22.0167 & 74.4666 & 459.963 & 469.897 & -4000.25 & -2647.59 & 13.8378 & -3.37299 & -10.0858 & -18.886 \\
& -2551.98 & 57495 & 3.29E+10 & 370380 & 352.025 & 21.2376 & 81.8073 & 458.902 & 480.163 & -2257.61 & -2125.84 & 13.3929 & -1.83939 & -6.25541 & -18.886 \\
& -2406.77 & 78787 & 2.80E+10 & 403560 & 472.017 & 20.9728 & 79.011 & 416.437 & 481.494 & -2723.46 & -1653.13 & 13.5631 & -1.96041 & -5.54987 & -13.3197 \\
& -2783.41 & 66765 & 2.70E+10 & 322920 & 330.427 & 21.3975 & 80.8424 & 466.09 & 467.905 & -3393.49 & -2011.66 & 13.5916 & -2.33285 & -5.45623 & -18.886 \\
\hline \\
Avg. & -2266.4149666667 & 67088.8333333333 & 3.08E+10 & 3.44E+05 & 4.27E+02 & 2.13E+01 & 7.77E+01 & 4.62E+02 & 4.74E+02 & -3.42E+03 & -2.27E+03 & 1.36E+01 & -2.60E+00 & -7.93E+00 & -1.78E+01 \\
Med. & -2317.55 & 69231.5 & 29737350000 & 355290 & 435.6005 & 21.24185 & 78.46185 & 460.305 & 474.5365 & -3357.385 & -2226.05 & 13.582 & -2.51608 & -7.99822 & -18.886 \\
Std. Dev. & 584.4233609571 & 8739.8871218282 & 5587568894.7127 & 47357.674511872 & 57.409444418 & 0.6956118635 & 4.0959187591 & 26.9132515273 & 7.5943841166 & 775.2133686027 & 526.201488921 & 0.2412609758 & 0.6322303515 & 1.8774263418 & 2.2645829281 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Local Search, 10 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -1722.16 & 0.03025 & 1.31E+10 & 5978.56 & 69.3764 & 7.53377 & 9.04847 & 181.426 & 151.893 & -754.573 & -2406.31 & 4.19767 & -2.05904 & -8.82787 & -8.1772 \\
& -2788.25 & 0.03025 & 1.59E+10 & 29804.2 & 69.0028 & 6.62654 & 9.08272 & 121.985 & 157.316 & 482.297 & -2056.85 & 4.27003 & -0.232247 & -8.81589 & -8.1772 \\
& -1839.66 & 0.03025 & 2.15E+10 & 17368.8 & 63.9238 & 7.28417 & 9.19482 & 170.218 & 140.056 & -1188.15 & -2643.43 & 4.22798 & 0.00103445 & -8.76307 & -8.1772 \\
& -3498.88 & 0.0300057 & 1.25E+10 & 20604.7 & 68.4473 & 5.87015 & 10.7235 & 109.273 & 156.978 & 765.691 & -2240.2 & 4.50026 & 0.0612122 & -8.79559 & -19.1981 \\
& -2373.7 & 0.03025 & 1.93E+10 & 13430.3 & 34.2408 & 7.98904 & 9.18401 & 130.203 & 151.598 & 357.187 & -2195.2 & 4.49177 & 0.843228 & -8.72636 & -19.2635 \\
& -2669.32 & 0.03025 & 1.38E+10 & 13495.7 & 60.3948 & 7.3257 & 9.63616 & 126.236 & 150.787 & -701.815 & -2689.55 & 4.52112 & -0.563567 & -8.62028 & -19.2635 \\
& -2412.63 & 0.0288532 & 1.22E+10 & 30023.6 & 74.2869 & 7.63259 & 9.07038 & 153.164 & 157.549 & -394.844 & -2613.69 & 4.45488 & 0.147295 & -8.74889 & -19.2635 \\
& -2452.59 & 0.03025 & 2.45E+10 & 22446.9 & 42.4768 & 6.59059 & 9.49866 & 167.659 & 153.588 & -2790.05 & -884.232 & 4.49433 & -1.58924 & -8.68392 & -22.0872 \\
& -2827.23 & 0.03025 & 6.57E+09 & 18043.7 & 64.0325 & 6.60687 & 9.40728 & 137.864 & 155.09 & 167.839 & -3035.03 & 4.10601 & 2.38E-05 & -8.77553 & -8.1772 \\
& -3577.85 & 0.0248398 & 1.74E+10 & 25988.4 & 74.2439 & 6.73684 & 9.28461 & 132.581 & 144.729 & -91.2695 & -1509.7 & 4.46538 & -1.92424 & -8.45917 & -11.5852 \\
& -1326.85 & 0.03025 & 2.68E+10 & 7867.05 & 70.423 & 7.52619 & 9.06149 & 111.908 & 154.855 & -117.596 & -2566.91 & 4.49956 & -0.783772 & -8.59181 & -8.1772 \\
& -3735.8 & 0.03025 & 1.80E+10 & 22752.2 & 50.6174 & 6.33447 & 9.1547 & 139.641 & 152.514 & -1316.55 & -2518 & 4.47642 & -0.0463014 & -8.75746 & -19.27 \\
& -2393.27 & 0.03025 & 1.14E+10 & 14274.5 & 40.5886 & 6.41117 & 10.6114 & 224.812 & 151.689 & -1288.83 & -2630.38 & 3.96854 & -1.52409 & -8.57556 & -8.1772 \\
& -2136.79 & 0.0251012 & 1.16E+10 & 13427.8 & 74.9665 & 6.62278 & 9.18783 & 124.629 & 154.597 & -1036 & -2279.34 & 4.08355 & -0.337027 & -8.83124 & -19.27 \\
& -2551.26 & 0.03025 & 2.09E+10 & 14787 & 71.8753 & 6.1052 & 10.2295 & 144.82 & 149.299 & -2255.52 & -2667.36 & 4.48691 & -0.522676 & -8.6941 & -19.27 \\
& -2610.58 & 0.0275071 & 2.19E+10 & 23744.9 & 51.3633 & 6.37208 & 9.21428 & 170.428 & 154.633 & 499.723 & -1960.24 & 4.49717 & -0.225219 & -8.82633 & -22.0364 \\
& -3301.42 & 0.03025 & 1.42E+10 & 17620.1 & 58.3238 & 6.90171 & 9.09557 & 109.074 & 155.68 & -413.377 & -2868.24 & 4.28546 & -0.609139 & -8.78285 & -22.0364 \\
& -2610.41 & 0.0293121 & 1.09E+10 & 27801.8 & 95.0175 & 6.93148 & 9.15471 & 167.973 & 150.033 & 689.394 & -2833.55 & 4.28827 & 0.0360106 & -8.26686 & -8.1772 \\
& -3183.07 & 0.0290287 & 1.69E+10 & 20238.5 & 60.3234 & 6.74264 & 9.67354 & 102.391 & 156.435 & -1058.05 & -2757.67 & 4.00982 & -0.78522 & -8.08889 & -8.1772 \\
& -2432.85 & 0.0301624 & 3.56E+10 & 22842.4 & 35.3722 & 6.46636 & 11.4128 & 170.701 & 148.289 & 1105.59 & -2210.27 & 4.77573 & -1.19427 & -8.509 & -21.9278 \\
& -2630.3 & 0.0278163 & 2.73E+10 & 25658.9 & 83.3985 & 6.10535 & 9.14037 & 121.269 & 154.065 & -958.512 & -2575.3 & 4.48104 & -1.21108 & -7.78537 & -11.6076 \\
& -2095.89 & 0.03025 & 9.81E+09 & 20270.9 & 40.2026 & 7.20097 & 9.0472 & 104.663 & 154.173 & -505.146 & -1771.42 & 4.11262 & -0.613923 & -8.83158 & -8.1772 \\
& -3301.53 & 0.0302264 & 1.35E+10 & 13708.2 & 62.5321 & 8.05472 & 11.0529 & 165.973 & 155.957 & -2069.58 & -2830.66 & 4.2232 & 0.124692 & -8.83616 & -19.2635 \\
& -2314.48 & 0.0296459 & 1.98E+10 & 21595.5 & 66.9216 & 5.32096 & 9.18803 & 119.401 & 156.968 & -728.852 & -3393.19 & 4.37753 & -1.01123 & -8.81274 & -11.6076 \\
& -3380.47 & 0.0302365 & 9.73E+09 & 26948.7 & 96.7156 & 7.25999 & 9.21712 & 187.299 & 153.919 & -213.715 & -2813.35 & 3.95788 & 0.110539 & -8.7079 & -8.1772 \\
& -3143.51 & 0.0199678 & 2.03E+10 & 11383 & 68.7048 & 6.28303 & 9.25189 & 188.644 & 157.746 & 110.405 & -1688.99 & 4.49839 & -1.74384 & -8.7247 & -8.1772 \\
& -2847.49 & 0.029854 & 1.84E+10 & 23915.5 & 72.8991 & 6.63326 & 9.38279 & 105.037 & 150.94 & 862.177 & -2078.53 & 4.58513 & -1.08988 & -8.61938 & -11.5852 \\
& -2926.46 & 0.03025 & 1.77E+10 & 21728.5 & 81.07 & 6.60333 & 9.31926 & 150.771 & 152.901 & -1333.47 & -2068.27 & 4.05192 & -0.656969 & -8.55918 & -21.9278 \\
& -2195.99 & 0.03025 & 2.26E+10 & 19417.8 & 76.3799 & 6.66027 & 9.09237 & 125.473 & 153.158 & -1148.96 & -2269.14 & 4.4759 & -1.44312 & -8.40539 & -8.1772 \\
& -2610.57 & 0.03025 & 1.95E+10 & 10095 & 51.5363 & 6.21274 & 9.11763 & 159.311 & 154.965 & -304.918 & -2250.28 & 4.4864 & 0.365686 & -8.75928 & -8.1772 \\
\hline \\
Avg. & -2663.042 & 0.02921857 & 1.75E+10 & 1.92E+04 & 6.43E+01 & 6.76E+00 & 9.49E+00 & 1.44E+02 & 1.53E+02 & -5.21E+02 & -2.38E+03 & 4.35E+00 & -6.16E-01 & -8.64E+00 & -1.39E+01 \\
Med. & -2610.575 & 0.03025 & 17541950000 & 20254.7 & 67.68445 & 6.6299 & 9.20455 & 138.7525 & 153.992 & -459.2615 & -2462.155 & 4.46013 & -0.586353 & -8.72553 & -11.5964 \\
Std. Dev. & 565.9521286104 & 0.0022586778 & 6227253551.6775 & 6364.105861632 & 15.8722794272 & 0.6200294914 & 0.6404997265 & 30.5973750771 & 3.8796949489 & 947.6193603132 & 502.5410994529 & 0.2088816019 & 0.7371789862 & 0.2404532 & 5.8867273045 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Local Search, 20 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -5793.64 & 0.0605 & 2.54E+10 & 84243.8 & 0.00544314 & 15.7534 & 22.794 & 388.743 & 318.54 & 872.22 & -4878.35 & 9.29745 & -0.868549 & -17.4433 & -18.4163 \\
& -6425.36 & 0.0605 & 3.40E+10 & 83330.5 & 2.59579 & 15.18 & 19.4765 & 282.217 & 326.136 & -890.302 & -5205.81 & 9.19442 & -1.71722 & -18.36 & -18.1189 \\
& -5773.94 & 0.0605 & 5.03E+10 & 81685.7 & 0.0325362 & 14.6438 & 19.2967 & 414.614 & 325.683 & -38.8792 & -4808.13 & 8.96731 & -1.28757 & -18.4541 & -18.1189 \\
& -4312.14 & 0.0605 & 4.46E+10 & 84028.2 & 0.012734 & 14.8892 & 20.1529 & 248.993 & 329.517 & -49.3419 & -5762.01 & 8.95851 & -0.769716 & -18.3303 & -11.5925 \\
& -5201.29 & 0.0528605 & 2.90E+10 & 85961.1 & 0.0175917 & 14.6958 & 20.7801 & 295.784 & 326.719 & 131.108 & -4284.49 & 9.19177 & -0.978247 & -17.4535 & -11.5925 \\
& -5437.26 & 0.0484009 & 4.27E+10 & 81010.4 & 0.0128073 & 14.7319 & 20.2851 & 308.26 & 321.815 & -3179.98 & -5910.02 & 8.83616 & -1.10339 & -18.3132 & -12.1791 \\
& -5911.51 & 0.0605 & 4.18E+10 & 82890.4 & 0.0127846 & 15.3506 & 24.845 & 297.244 & 320.763 & 124.661 & 359.29 & 9.15435 & -0.821465 & -18.5011 & -11.5925 \\
& -5852.3 & 0.0605 & 3.89E+10 & 80465.7 & 0.50121 & 13.8042 & 24.586 & 358.358 & 328.323 & -1240.58 & -5701.28 & 9.48494 & -2.10437 & -17.7341 & -11.5925 \\
& -4549.95 & 0.0554514 & 2.43E+10 & 82872.7 & 0.0150484 & 14.0756 & 21.9814 & 378.772 & 320.122 & 866.459 & -4804.78 & 9.32682 & 0.177762 & -18.4128 & -11.5924 \\
& -5615.93 & 0.0594314 & 3.87E+10 & 85395.4 & 0.0177641 & 14.9938 & 21.737 & 348.39 & 330.393 & -40.7054 & -803.14 & 9.46576 & -0.757524 & -17.8996 & -12.1455 \\
& -6128.66 & 0.0599989 & 5.86E+09 & 82482.7 & 0.022684 & 15.7937 & 23.5337 & 318.578 & 313.61 & -1594.82 & -5561.16 & 9.47295 & -0.0502173 & -18.3411 & -12.1791 \\
& -5911.12 & 0.06046 & 3.82E+10 & 79597.1 & 0.00540948 & 14.6048 & 19.8786 & 343.956 & 316.997 & -1549.64 & -4889 & 9.12806 & 0.593797 & -17.5708 & -11.5925 \\
& -5378.96 & 0.0546049 & 3.55E+10 & 79844.9 & 0.513188 & 13.4111 & 20.819 & 237.504 & 323.974 & -236.878 & -2783.49 & 9.40669 & -1.5814 & -17.8182 & -11.5925 \\
& -6208.09 & 0.0605 & 4.11E+10 & 82806.8 & 0.0423564 & 13.6263 & 19.9244 & 338.475 & 330.509 & 145.801 & -5149.57 & 8.85904 & 0.0709934 & -17.7823 & -11.5925 \\
& -6365.98 & 0.0604318 & 3.95E+10 & 82980.4 & 0.00544314 & 14.5561 & 29.7907 & 373.119 & 316.579 & -3981.64 & -589.742 & 9.45594 & -0.734831 & -17.6115 & -12.1791 \\
& -4865.5 & 0.0605 & 2.70E+10 & 81023.3 & 0.022684 & 14.1321 & 19.6227 & 264.108 & 329.156 & -895.345 & -5298.19 & 9.31191 & -0.709717 & -17.9523 & -12.1791 \\
& -5753.31 & 0.0592495 & 5.53E+10 & 83182.6 & 0.0177641 & 14.3879 & 19.4463 & 326.461 & 329.266 & -736.031 & -36.6239 & 9.20092 & -1.01499 & -18.0679 & -11.5925 \\
& -4964.05 & 0.0495827 & 3.22E+10 & 86350.6 & 7.65341 & 14.4621 & 19.5375 & 354.537 & 329.072 & -98.6246 & -4398.36 & 9.44551 & -1.39255 & -18.4823 & -11.5925 \\
& -5161.97 & 0.0605 & 3.97E+10 & 79778.4 & 0.0244744 & 14.5572 & 22.6856 & 320.654 & 312.234 & -6486.32 & -4736.91 & 9.2983 & -1.06507 & -17.1146 & -11.5925 \\
& -5635.57 & 0.0605 & 4.11E+10 & 81383.2 & 0.0054374 & 14.5234 & 22.1856 & 287.145 & 323.708 & 562.055 & -5532.35 & 9.13131 & 0.712591 & -18.4878 & -12.1791 \\
& -5477.18 & 0.0605 & 2.88E+10 & 83253.2 & 0.012837 & 14.4646 & 20.9163 & 383.667 & 322.139 & -2281.67 & -4092.8 & 9.208 & -2.1219 & -18.2742 & -11.5925 \\
& -5240.77 & 0.0605 & 5.57E+10 & 82110.1 & 13.4906 & 15.0371 & 19.3914 & 205.418 & 324.571 & -3193.3 & -6020.24 & 8.90623 & -2.27157 & -16.7489 & -11.5924 \\
& -5635.19 & 0.0605 & 2.74E+10 & 84813.3 & 0.0447807 & 15.5438 & 19.7167 & 245.99 & 327.78 & -1235.47 & -3310.1 & 9.39152 & -1.5261 & -17.3734 & -11.5925 \\
& -3246.38 & 0.0605 & 3.80E+10 & 83219.6 & 0.00544314 & 14.7169 & 23.0755 & 303.558 & 313.476 & -1673.84 & -4972.31 & 8.87996 & 0.484031 & -18.4883 & -11.5925 \\
& -6168.66 & 0.0558529 & 4.47E+10 & 84716.8 & 2.94032 & 13.5461 & 19.8038 & 247.696 & 325.746 & -550.653 & -5601.88 & 9.47937 & -0.144748 & -17.0377 & -11.5925 \\
& -4213.77 & 0.0581465 & 3.19E+10 & 80103 & 0.00538645 & 16.5718 & 25.1075 & 282.189 & 323.021 & -137.129 & -5451.53 & 9.11948 & -1.01489 & -17.6702 & -11.5729 \\
& -3384.87 & 0.0595524 & 4.13E+10 & 82072.8 & 0.00541907 & 15.7239 & 19.2661 & 329.103 & 324.07 & -1101.79 & -4311.6 & 9.49093 & -0.162895 & -18.1284 & -11.5925 \\
& -5437.75 & 0.0590881 & 2.77E+10 & 87335.7 & 0.486232 & 13.3387 & 19.7886 & 289.14 & 323.126 & -2199.9 & -5897.58 & 9.47676 & 0.0210599 & -17.9211 & -18.4163 \\
& -4154.64 & 0.0605 & 3.50E+10 & 80441.7 & 0.0226616 & 15.9632 & 19.6977 & 323.442 & 319.648 & -2319.97 & -4943.11 & 9.3123 & -1.96752 & -16.6269 & -11.5925 \\
& -4727.06 & 0.0605 & 5.57E+10 & 83475 & 0.0300529 & 15.2459 & 20.5533 & 339.345 & 325.59 & 2361.6 & -3509.27 & 9.4069 & -2.61652 & -17.0723 & -11.5925 \\
\hline \\
Avg. & -5297.76 & 0.05870373 & 3.70E+10 & 8.28E+04 & 9.53E-01 & 1.47E+01 & 2.14E+01 & 3.15E+02 & 3.23E+02 & -1.02E+03 & -4.30E+03 & 9.24E+00 & -8.91E-01 & -1.78E+01 & -1.26E+01 \\
Med. & -5457.465 & 0.0605 & 38465350000 & 82881.55 & 0.02021285 & 14.6698 & 20.4192 & 319.616 & 324.022 & -813.1665 & -4883.675 & 9.297875 & -0.923398 & -17.91035 & -11.5925 \\
Std. Dev. & 817.3212483051 & 0.0033237366 & 10498474328.5921 & 2030.9259258268 & 2.8130712982 & 0.7900945894 & 2.3862355564 & 50.2442400537 & 5.1944841414 & 1705.6218308227 & 1790.4080474217 & 0.210871267 & 0.8822055188 & 0.5520760648 & 2.2743612411 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Local Search, 30 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -8720.03 & 0.09075 & 6.14E+10 & & 468222 & 25.6736 & 29.4629 & 465.724 & 492.399 & -709.211 & -9489.6 & 14.5445 & & -23.8513 & -19.687 \\
& -6962.47 & 0.09075 & 8.45E+10 & & 544786 & 26.105 & 37.1947 & 476.184 & 495.891 & -2092.66 & -1548.36 & 14.1196 & & -27.6662 & -18.039 \\
& -6961.87 & 0.0899048 & 4.08E+10 & & 566160 & 22.9069 & 32.2468 & 572.709 & 495.119 & -724.496 & -1085.52 & 13.6181 & & -26.3649 & -9.98237 \\
& -7022.1 & 0.09075 & 4.80E+10 & & 507124 & 23.5184 & 32.8019 & 474.808 & 504.87 & 1441.2 & -298.734 & 14.6858 & & -27.5487 & -11.4003 \\
& -7554.77 & 0.09075 & 5.62E+10 & & 534480 & 21.3856 & 45.2881 & 407.728 & 499.809 & -1117.15 & -6155.89 & 14.1285 & & -28.0375 & -18.8073 \\
& -7930.32 & 0.0901661 & 3.89E+10 & & 507272 & 21.786 & 39.2269 & 585.973 & 489.683 & -559.234 & -6021.34 & 14.2482 & & -26.9184 & -17.1526 \\
& -7671.66 & 0.09075 & 6.33E+10 & & 544748 & 23.9949 & 39.7063 & 410.723 & 496.021 & -706.327 & -8420.73 & 14.4966 & & -27.7328 & -18.8073 \\
& -9153.89 & 0.0896031 & 5.37E+10 & & 527930 & 22.0799 & 31.5884 & 432.908 & 498.172 & -1000.39 & -7023.77 & 14.0189 & & -27.4268 & -19.6821 \\
& -7475.88 & 0.0825127 & 7.43E+10 & & 441660 & 24.9363 & 30.6169 & 441.306 & 495.542 & 727.837 & -2984.97 & 14.1608 & & -27.0882 & -18.1224 \\
& -7140.58 & 0.09075 & 6.14E+10 & & 461520 & 22.1797 & 32.6729 & 418.557 & 493.104 & -2038.59 & -8148.21 & 13.8726 & & -27.3871 & -17.6842 \\
& -6765.1 & 0.09075 & 5.12E+10 & & 442200 & 22.8712 & 30.8062 & 469.99 & 489.318 & -3404.86 & -1965.15 & 13.9313 & & -27.7029 & -11.4003 \\
& -7278.84 & 0.0705322 & 4.88E+10 & & 387826 & 23.6452 & 29.7264 & 530.633 & 493.766 & 659.589 & -2082.03 & 14.7356 & & -26.4235 & -18.039 \\
& -9804.77 & 0.09075 & 3.16E+10 & & 594900 & 22.2526 & 30.373 & 506.952 & 499.083 & -6243.21 & -7264.67 & 14.0242 & & -25.9648 & -11.4003 \\
& -7258.63 & 0.0815248 & 5.80E+10 & & 506574 & 22.0017 & 38.3344 & 481.961 & 499.895 & -182.164 & -7375.24 & 14.1801 & & -26.8838 & -17.1526 \\
& -7752.47 & 0.09075 & 6.81E+10 & & 594960 & 23.3336 & 32.0357 & 448.093 & 497.64 & 121.125 & -6137.77 & 13.9758 & & -25.8605 & -19.5175 \\
& -6427.54 & 0.0901747 & 6.75E+10 & & 499020 & 24.788 & 39.219 & 550.8 & 497.778 & 197.675 & -6537.16 & 14.0494 & & -26.9742 & -18.3945 \\
& -8048.75 & 0.09075 & 7.70E+10 & & 345160 & 22.4005 & 31.9327 & 351.905 & 500.411 & -5356.76 & -5318.86 & 14.3997 & & -25.4607 & -18.3945 \\
& -6922.6 & 0.0897579 & 7.72E+10 & & 424932 & 21.4528 & 33.8182 & 440.397 & 494.772 & -670.487 & 239.404 & 13.8857 & & -25.2136 & -18.039 \\
& -7534.96 & 0.09075 & 5.81E+10 & & 510105 & 24.7605 & 34.6564 & 481.573 & 493.94 & -2080.9 & -6633.34 & 14.5802 & & -27.3547 & -11.4003 \\
& -6626.39 & 0.0840877 & 6.24E+10 & & 356637 & 26.2454 & 36.2963 & 508.941 & 499.447 & -1921.38 & -7225.03 & 14.007 & & -28.186 & -19.6828 \\
& -8739.22 & 0.0833573 & 6.99E+10 & & 546298 & 21.9408 & 33.581 & 543.216 & 491.856 & -1567.4 & -6976.34 & 13.9828 & & -28.2896 & -11.3613 \\
& -8818.69 & 0.0885963 & 3.97E+10 & & 438240 & 21.1752 & 36.2528 & 460.593 & 499.554 & 72.1365 & -6627.36 & 14.0521 & & -27.4075 & -11.4003 \\
& -7258.09 & 0.0861417 & 3.49E+10 & & 544831 & 25.094 & 30.5593 & 548.84 & 499.339 & -5073.7 & -8456.63 & 14.2453 & & -25.5684 & -19.8561 \\
& -8087.75 & 0.0903371 & 5.46E+10 & & 446157 & 22.9032 & 32.1424 & 421.646 & 492.63 & -3900.26 & 1353.84 & 13.7392 & & -26.6823 & -19.2993 \\
& -8482.43 & 0.090039 & 4.66E+10 & & 552581 & 22.3861 & 36.5625 & 457.61 & 499.245 & 1.35286 & -7844.48 & 13.7055 & & -28.0855 & -19.687 \\
& -6528.81 & 0.09075 & 6.70E+10 & & 498480 & 19.5627 & 34.625 & 464.465 & 492.466 & -6965.86 & -9712.34 & 14.1021 & & -26.9693 & -18.8073 \\
& -8463.27 & 0.09075 & 6.34E+10 & & 479280 & 24.0583 & 34.4645 & 608.036 & 473.426 & -7745.87 & -7636.44 & 14.4946 & & -26.258 & -12.3742 \\
& -8956.81 & 0.0893575 & 4.27E+10 & & 431907 & 23.3802 & 37.1508 & 605.869 & 486.893 & -6378.37 & -7262.28 & 13.9651 & & -27.4611 & -12.3742 \\
& -8443.14 & 0.09075 & 4.63E+10 & & 660240 & 23.5017 & 36.0516 & 503.756 & 478.32 & -1278.35 & -4455.43 & 13.9693 & & -27.2419 & -17.1526 \\
& -6843.66 & 0.0894151 & 7.43E+10 & & 481320 & 23.2531 & 29.9386 & 478.08 & 499.71 & -4075.12 & -5839.02 & 14.2467 & & -27.0834 & -9.98237 \\
\hline \\
Avg. & -7721.183 & 0.0885336 & 5.74E+10 & 4.95E+05 & 2.32E+01 & 3.43E+01 & 4.85E+02 & 4.95E+02 & -2.09E+03 & -5.50E+03 & -5.50E+03 & 1.41E+01 & -2.69E+01 & -2.69E+01 & -1.62E+01 \\
Med. & -7544.865 & 0.0902559 & 58031700000 & 502797 & 23.08 & 33.6996 & 475.496 & 495.7165 & -1197.75 & -6582.26 & -6582.26 & 14.0771 & -27.0858 & -27.0858 & -18.039 \\
Std. Dev. & 879.654776568 & 0.004344398 & 13715570303.9744 & 70598.3086040107 & 1.561052308 & 3.7073113996 & 61.9062241299 & 6.4821907987 & 2517.8253815732 & 3015.9014409368 & 3015.9014409368 & 0.2842525403 & 1.0005521456 & 1.0005521456 & 3.6031873219 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Iterative Local Search, 10 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -2353.48 & 0.03025 & 1.88E+10 & 24168.4 & 59.988 & 6.39537 & 9.35607 & 117.932 & 155.879 & -145.889 & -1646.86 & 4.03982 & -0.302471 & -8.64558 & -11.5852 \\
& -2294.56 & 0.0278096 & 2.01E+10 & 23308.8 & 54.3803 & 7.99499 & 9.10285 & 166.587 & 155.557 & -479.37 & -2949.33 & 4.21134 & -0.408084 & -8.79464 & -8.1772 \\
& -2847.49 & 0.0296792 & 1.70E+10 & 32302.9 & 46.5895 & 7.22062 & 9.07374 & 161.811 & 148.705 & -56.1015 & -2988.2 & 3.99908 & -0.616554 & -8.82742 & -8.1772 \\
& -1682.61 & 0.0286486 & 1.90E+10 & 26081.4 & 61.7176 & 6.47021 & 10.7403 & 138.539 & 151.489 & -235.288 & -2321.48 & 4.49389 & -1.30566 & -8.4728 & -8.1772 \\
& -3163.22 & 0.03025 & 1.44E+10 & 15665.2 & 46.493 & 7.87339 & 11.6635 & 143.48 & 152.545 & -1197.31 & -3124.24 & 4.06124 & -1.18534 & -8.60302 & -8.1772 \\
& -1564.28 & 0.0292164 & 3.22E+10 & 9609.37 & 63.0245 & 6.84956 & 9.12636 & 77.5438 & 158.222 & -1306.25 & -2504.62 & 4.49975 & -0.577118 & -8.69359 & -8.1772 \\
& -3005.3 & 0.03025 & 2.60E+10 & 29121.3 & 42.5946 & 7.03493 & 11.0323 & 121.662 & 156.691 & -457.272 & -2495.34 & 4.48833 & -0.676501 & -8.81122 & -8.1772 \\
& -2196.03 & 0.03025 & 9.37E+09 & 24244.2 & 67.6498 & 6.47648 & 9.77288 & 118.753 & 156.684 & -78.0806 & -1123.95 & 4.65848 & -1.34652 & -8.80146 & -8.1772 \\
& -2451.6 & 0.0301868 & 1.89E+10 & 31828.8 & 54.9617 & 7.78021 & 9.1522 & 198.115 & 153.576 & -44.7555 & -1719.94 & 4.49672 & 0.0368576 & -8.82573 & -8.1772 \\
& -2649.5 & 0.03025 & 2.35E+10 & 24122.5 & 78.0887 & 7.02654 & 9.08477 & 145.058 & 146.57 & -359.588 & -2690.69 & 4.44189 & -0.600237 & -8.85059 & -8.1772 \\
& -1978.6 & 0.0302292 & 1.92E+10 & 26676.1 & 67.6724 & 6.72453 & 9.32724 & 184.502 & 154.944 & -978.036 & -2567.04 & 4.49746 & 0.352732 & -8.72541 & -8.1772 \\
& -2590.35 & 0.03025 & 1.86E+10 & 22140.2 & 67.8106 & 7.22723 & 9.27195 & 184.804 & 149.624 & 228.958 & -2156.38 & 4.63231 & 0.000805103 & -8.82982 & -19.2635 \\
& -2492.14 & 0.0302253 & 1.45E+10 & 23038.2 & 54.4243 & 6.35673 & 9.37548 & 64.1279 & 158.208 & -1552.16 & -2516.99 & 4.1252 & -0.977698 & -8.62522 & -8.1772 \\
& -3024.64 & 0.0302113 & 2.35E+10 & 21144 & 68.705 & 7.64069 & 15.3717 & 175.471 & 156.45 & -188.369 & -2261.48 & 4.50388 & -0.189495 & -8.82071 & -19.27 \\
& -2787.77 & 0.0299542 & 3.51E+10 & 30959.5 & 87.3445 & 7.258 & 9.17457 & 174.921 & 154.939 & -549.431 & -2337.16 & 4.51863 & -0.100004 & -8.71327 & -11.6076 \\
& -2412.16 & 0.03025 & 2.46E+10 & 10038.6 & 49.23 & 7.00135 & 9.18972 & 203.733 & 153.641 & -279.738 & -813.436 & 4.13809 & 0.0861884 & -8.70443 & -22.0364 \\
& -2156.47 & 0.03025 & 3.45E+09 & 7563.02 & 90.5625 & 6.32097 & 9.77328 & 161.579 & 153.295 & -83.3801 & -1182.55 & 4.45449 & -0.394575 & -8.82684 & -19.2635 \\
& -3044.69 & 0.03025 & 1.32E+10 & 18228.9 & 53.0633 & 6.98713 & 9.22125 & 139.567 & 151.861 & -101.129 & -2341.09 & 4.27863 & -0.295665 & -8.4791 & -20.3627 \\
& -2294.74 & 0.0128203 & 6.91E+09 & 13513 & 64.0312 & 8.51433 & 9.30183 & 142.512 & 156.996 & -1863.03 & -1398.12 & 4.49987 & -0.496323 & -8.84694 & -8.1772 \\
& -2946.18 & 0.0182463 & 4.41E+09 & 10620.3 & 76.5551 & 7.01442 & 9.13523 & 175.317 & 152.924 & 63.6296 & -2397.78 & 4.50181 & 0.0984758 & -8.7853 & -21.9278 \\
& -2412.71 & 0.03025 & 6.12E+09 & 21231.5 & 47.6436 & 6.37215 & 9.12583 & 152.503 & 151.491 & 662.344 & -2139.36 & 4.50024 & -0.769488 & -8.30502 & -8.1772 \\
& -2669.73 & 0.03025 & 2.28E+10 & 18635 & 46.5956 & 6.62651 & 9.1969 & 179.575 & 155.756 & -1622.23 & -2579.85 & 4.49683 & -0.639761 & -8.72133 & -19.1981 \\
& -2235.49 & 0.03025 & 1.40E+10 & 28141.5 & 72.5154 & 6.69095 & 9.79442 & 127.291 & 145.443 & -2020.13 & -1634.23 & 4.42869 & -1.00679 & -8.78072 & -19.2635 \\
& -2985.69 & 0.0300519 & 9.28E+09 & 37770.1 & 96.61 & 7.83742 & 14.026 & 184.708 & 146.4 & -590.179 & -2498.13 & 4.26544 & -0.0294331 & -8.87411 & -8.1772 \\
& -2353.88 & 0.03025 & 1.14E+10 & 38853.2 & 55.7939 & 7.34237 & 9.23642 & 155.955 & 156.938 & -298.932 & -2034.12 & 4.68428 & 0.020851 & -8.83159 & -21.9278 \\
& -1899.75 & 0.03025 & 3.03E+10 & 19359.5 & 64.5918 & 7.09233 & 10.284 & 99.3849 & 153.521 & -801.555 & -2416.07 & 4.08334 & -0.124733 & -8.71859 & -19.27 \\
& -1623.43 & 0.03025 & 1.17E+10 & 18194 & 72.4011 & 6.26496 & 9.88647 & 133.847 & 156.223 & -1354.62 & -2445.64 & 4.09028 & -1.742 & -8.69851 & -20.3627 \\
& -3222.55 & 0.03025 & 1.86E+10 & 33430.4 & 75.1929 & 6.67338 & 9.50346 & 219.224 & 156.195 & -894.692 & -1572.32 & 4.40705 & -0.587073 & -8.64298 & -8.1772 \\
& -3498.88 & 0.0256026 & 1.53E+10 & 23899.7 & 72.4134 & 6.26663 & 9.14707 & 169.249 & 154.033 & -1419.25 & -2628.3 & 4.49581 & -0.0643777 & -8.10856 & -8.1772 \\
& -3044.4 & 0.0301924 & 3.41E+10 & 11088.4 & 51.1488 & 6.8859 & 9.41934 & 103.838 & 155.568 & -2127.94 & -2428.83 & 4.49982 & -1.26039 & -8.74994 & -8.1772 \\
\hline \\
Avg. & -2529.4106666667 & 0.02890247 & 1.79E+10 & 2.25E+04 & 6.37E+01 & 7.01E+00 & 9.90E+00 & 1.51E+02 & 1.54E+02 & -6.71E+02 & -2.20E+03 & 4.38E+00 & -5.03E-01 & -8.70E+00 & -1.28E+01 \\
Med. & -2471.87 & 0.03025 & 18559750000 & 23173.5 & 63.52785 & 6.99424 & 9.314535 & 154.229 & 154.486 & -468.321 & -2369.435 & 4.49111 & -0.4522035 & -8.737675 & -8.1772 \\
Std. Dev. & 495.6619476322 & 0.0038284652 & 8448356883.66839 & 8305.8388465674 & 13.8542434661 & 0.5807405608 & 1.4575514207 & 36.4813660807 & 3.4660196682 & 719.7744604556 & 569.5535684889 & 0.1984223336 & 0.5169316097 & 0.17100592 & 5.8206220674 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Iterative Local Search, 20 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -4549.4 & 0.0605 & 2.51E+10 & 83731.6 & 0.651206 & 14.7944 & 21.9681 & 279.695 & 321.001 & -1566.84 & -5338.46 & 9.21621 & -0.142619 & -17.715 & -11.8869 \\
& -6050.16 & 0.0605 & 4.55E+10 & 80745.8 & 0.268086 & 16.284 & 19.3337 & 343.725 & 313.969 & -1993.75 & -4148.75 & 9.46446 & -0.548652 & -18.1772 & -11.5925 \\
& -5398.23 & 0.0591995 & 5.06E+10 & 82401.3 & 0.032413 & 15.3526 & 23.9768 & 296.889 & 321.956 & -4633.19 & -4848.21 & 9.01646 & 0.218791 & -18.4282 & -11.5925 \\
& -5675.22 & 0.0605 & 4.42E+10 & 82591.3 & 0.00544314 & 14.7622 & 22.6234 & 331.276 & 323.228 & -4014.04 & -5436.05 & 9.26537 & 0.626347 & -18.2969 & -12.1455 \\
& -3976.37 & 0.0588747 & 3.25E+10 & 82036.8 & 0.0128344 & 13.9223 & 25.6647 & 325.015 & 329.982 & -1246.54 & -4823.87 & 9.12409 & -1.33997 & -17.3054 & -11.5925 \\
& -5082.38 & 0.0605 & 2.61E+10 & 87382.5 & 0.0201434 & 14.3422 & 21.3897 & 396.392 & 326.205 & -392.775 & -6280.62 & 9.13477 & -2.26781 & -18.1703 & -11.5925 \\
& -5891.86 & 0.0605 & 3.85E+10 & 89279.1 & 0.684922 & 15.2594 & 23.0754 & 329.302 & 326.381 & -337.14 & -3871.16 & 9.02972 & -0.0242582 & -18.4513 & -11.5925 \\
& -5003.93 & 0.0605 & 3.00E+10 & 85879 & 0.0151074 & 14.8268 & 19.9157 & 325.527 & 314.19 & -1212.15 & -4189.52 & 9.17302 & 0.0681864 & -18.2963 & -11.5925 \\
& -5418.57 & 0.0605 & 4.30E+10 & 82890.7 & 0.00544314 & 15.9129 & 20.2634 & 332.571 & 325.788 & -1548.21 & -5548.41 & 9.39065 & -0.906265 & -18.5396 & -11.5925 \\
& -5516.7 & 0.0599162 & 3.51E+10 & 82665.9 & 0.03008 & 16.1692 & 19.9074 & 388.651 & 327.169 & 923.714 & -563.104 & 9.20288 & -1.59829 & -18.1054 & -11.5925 \\
& -3937.92 & 0.0547374 & 3.35E+10 & 86354.3 & 0.0153078 & 15.3926 & 19.532 & 312.15 & 322.111 & -1598.94 & -4648.01 & 8.87789 & -1.49817 & -17.8506 & -11.5925 \\
& -4588.88 & 0.0605 & 3.51E+10 & 81101.4 & 0.00542657 & 15.7841 & 21.7808 & 357.263 & 330.684 & -1319.67 & -4261.9 & 9.33048 & -1.93719 & -18.2627 & -12.1791 \\
& -5082.97 & 0.0559769 & 2.42E+10 & 76218.4 & 0.00544314 & 15.1429 & 22.4065 & 346.209 & 324.783 & 1500.62 & -6032.9 & 9.18852 & -1.88437 & -18.2285 & -11.5925 \\
& -6070.01 & 0.0594556 & 3.21E+10 & 83486.2 & 0.0201913 & 14.966 & 19.342 & 393.145 & 324.682 & -404.273 & -5094.61 & 8.57302 & 0.126058 & -16.446 & -11.5925 \\
& -5043.31 & 0.0605 & 1.85E+10 & 82935.5 & 0.220955 & 14.0295 & 20.2134 & 316.233 & 325.996 & 2079.2 & -4572.43 & 9.70061 & -1.33897 & -18.2227 & -11.5925 \\
& -5161.34 & 0.0605 & 3.87E+10 & 85337.7 & 0.00541984 & 14.9478 & 19.5923 & 274.232 & 327.758 & -1727.17 & -4684.33 & 9.01989 & 0.290542 & -18.4796 & -12.1791 \\
& -4589.3 & 0.060484 & 3.08E+10 & 83765.5 & 0.01776 & 14.714 & 20.0449 & 314.196 & 325.896 & -1632.08 & -5179.06 & 8.52944 & -0.524841 & -18.3505 & -18.4163 \\
& -4332.6 & 0.0600202 & 6.77E+10 & 81498.7 & 0.0153003 & 16.5447 & 20.0096 & 314.165 & 307.423 & 1567.7 & -4461.73 & 9.43874 & -1.20997 & -18.3268 & -11.5925 \\
& -6267.41 & 0.0605 & 4.65E+10 & 81603.3 & 1.88596 & 16.1234 & 20.2482 & 316.52 & 317.494 & -5550.9 & -3693.39 & 9.4962 & 0.510028 & -18.1621 & -11.5925 \\
& -4588.98 & 0.0605 & 4.06E+10 & 85076.2 & 0.0225431 & 14.0527 & 20.8396 & 325.67 & 324.854 & -2326.43 & -5346.36 & 9.33666 & -1.32004 & -18.555 & -11.5925 \\
& -5477.69 & 0.0604347 & 5.13E+10 & 80799.5 & 0.00535823 & 14.7108 & 20.8015 & 261.241 & 319.17 & 485.619 & -4782.73 & 9.17792 & -1.22079 & -17.7232 & -18.1189 \\
& -6109.42 & 0.0472961 & 2.54E+10 & 83373.9 & 0.177322 & 15.6127 & 22.9987 & 286.368 & 321.812 & -2998.41 & -4456.01 & 8.6997 & -2.29998 & -18.4625 & -11.5925 \\
& -4885.09 & 0.0570039 & 4.39E+10 & 80163.4 & 0.255374 & 15.6927 & 23.8355 & 324.354 & 325.002 & -1578.78 & -4075.51 & 9.10547 & -0.131814 & -17.7901 & -11.5925 \\
& -4035.51 & 0.0600693 & 4.32E+10 & 81415.3 & 0.0152417 & 14.9575 & 19.5572 & 296.019 & 321.434 & 824.034 & -4011.91 & 9.31902 & -1.51993 & -17.8755 & -11.5924 \\
& -3917.22 & 0.0586818 & 4.16E+10 & 87878.4 & 0.0128369 & 14.4221 & 19.8007 & 375.301 & 300.768 & 1043.95 & -5037.25 & 9.57629 & -1.73324 & -18.2571 & -11.5925 \\
& -5754.04 & 0.0575467 & 2.76E+10 & 83622.3 & 0.272711 & 17.8043 & 20.3977 & 370.717 & 317.424 & -1133.68 & -4973.3 & 9.0252 & -1.10353 & -18.3087 & -11.5925 \\
& -4786.87 & 0.0605 & 5.54E+10 & 81190 & 0.0324796 & 14.4401 & 19.8204 & 358.965 & 296.103 & 692.475 & -4121.91 & 8.76355 & -0.860885 & -18.484 & -18.4163 \\
& -4510.47 & 0.0597792 & 3.24E+10 & 83530.5 & 4.0042 & 16.0272 & 20.4454 & 225.399 & 326.39 & -478.625 & -5370.33 & 9.32801 & -1.13941 & -18.4418 & -11.5729 \\
& -5398.26 & 0.0605 & 2.12E+10 & 85510.6 & 0.43707 & 14.8375 & 19.3774 & 332.986 & 327.903 & -985.672 & -316.499 & 8.94067 & 0.336942 & -17.9256 & -11.5925 \\
& -4253.69 & 0.0600716 & 3.11E+10 & 84551 & 0.0128391 & 15.5474 & 21.1043 & 361.928 & 322.473 & -2662.15 & -5159.38 & 7.88002 & -0.784451 & -18.5094 & -11.5924 \\
\hline \\
Avg. & -5045.1266666667 & 0.05921826 & 3.70E+10 & 8.33E+04 & 3.06E-01 & 1.52E+01 & 2.10E+01 & 3.27E+02 & 3.21E+02 & -1.07E+03 & -4.51E+03 & 9.11E+00 & -8.39E-01 & -1.81E+01 & -1.23E+01 \\
Med. & -5062.845 & 0.06045935 & 35130150000 & 83154.7 & 0.02016735 & 15.05445 & 20.33055 & 325.5985 & 323.955 & -1229.345 & -4733.53 & 9.17547 & -1.0048975 & -18.2599 & -11.5925 \\
Std. Dev. & 698.8094252189 & 0.0026900942 & 10975111347.1528 & 2619.8872400694 & 0.791604351 & 0.8539153929 & 1.6317417953 & 39.4394076324 & 8.0216805796 & 1808.4389363295 & 1268.809305736 & 0.3628603461 & 0.8562948838 & 0.4364346365 & 2.0376857083 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Iterative Local Search, 30 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -9410.25 & 0.0833082 & 2.47E+10 & 320497 & & 21.2591 & 29.99 & 368.495 & 473.165 & -6278.62 & -8324.6 & 13.026 & & -28.105 & -19.687 \\
& -8976.5 & 0.0769728 & 2.89E+10 & 255960 & & 21.382 & 29.5846 & 390.77 & 473.46 & -6837.82 & -9171.82 & 13.5603 & & -28.2307 & -19.8561 \\
& -9489.96 & 0.0869344 & 3.07E+10 & 349495 & & 20.4102 & 29.7188 & 389.025 & 476.709 & -6935.81 & -9139.13 & 13.5408 & & -28.2876 & -19.687 \\
& -9074.77 & 0.0754036 & 2.83E+10 & 337920 & & 21.3585 & 29.459 & 330.204 & 459.783 & -7391.32 & -8408.34 & 12.9661 & & -28.411 & -19.687 \\
& -9568.94 & 0.0569313 & 3.10E+10 & 338600 & & 21.4582 & 29.6347 & 379.984 & 477.567 & -6970.99 & -9684.67 & 13.1975 & & -28.3428 & -19.8561 \\
& -9351.64 & -0.0490078 & 2.68E+10 & 345600 & & 20.7617 & 29.9363 & 7.87853 & 475.43 & -6241.29 & -9773.48 & 13.359 & & -28.1681 & -19.8561 \\
& -124.883 & 0.0683202 & 3.31E+10 & 277860 & & 20.4901 & 29.4315 & 374.832 & 472.378 & -7256.36 & -9653.19 & 13.1889 & & -28.1063 & -19.687 \\
& -9924.25 & 0.0791061 & 3.19E+10 & 372780 & & 20.9216 & 29.7907 & 373.748 & 455.648 & -6665.63 & 283.59 & 12.8196 & & -28.1588 & -19.8561 \\
& -9311.68 & 0.0746452 & 3.24E+10 & 334380 & & 21.3375 & 29.6274 & 372.786 & 472.562 & -6572.91 & -8859.86 & 13.3459 & & -28.316 & -19.8561 \\
& -9035.97 & 0.0662556 & 3.18E+10 & 349440 & & 20.4238 & 30.1293 & 352.798 & 478.836 & -7007.39 & -9049.74 & 13.4248 & & -28.2245 & -19.8561 \\
& -9864.99 & -0.0636759 & 3.03E+10 & 312060 & & 21.0197 & 29.4352 & 376.266 & 466.391 & -8396.7 & -9143.81 & 13.5041 & & -28.2922 & -19.8561 \\
& -8996.29 & 0.0789434 & 2.87E+10 & -1.66599 & & 20.6647 & 29.6205 & 358.251 & 479.544 & -8751 & -10268.6 & 13.2663 & & -28.1594 & -19.8561 \\
& -9391.2 & 0.0749528 & 2.68E+10 & 338160 & & 20.4382 & 29.777 & 345.008 & 458.006 & -5866.24 & -8878.84 & 13.203 & & -28.3379 & -19.8561 \\
& -9450.26 & 0.0845282 & 2.94E+10 & 368202 & & 20.5752 & 29.6886 & 368.195 & 474.65 & -8633.36 & 464.389 & 13.6934 & & -3.43673 & -19.8561 \\
& -9746.52 & 0.0751487 & 2.75E+10 & 357000 & & 21.1032 & 29.7037 & 351.542 & 467.12 & -7698.6 & -8541.65 & 13.0522 & & -28.3234 & -19.8561 \\
& -9865.04 & 0.0805431 & -1.00E+01 & 330432 & & 20.6857 & 29.5885 & -7.69393 & 473.355 & -6756.61 & -9540.85 & 13.5152 & & -28.2612 & -19.687 \\
& -9272.8 & 0.0795918 & 3.80E+10 & 286598 & & 20.6426 & 19.8658 & 371.765 & 486.552 & -6547.46 & -9854.97 & 13.5049 & & -28.1688 & -19.8561 \\
& -10062.5 & 0.0768222 & 3.74E+10 & 350160 & & 20.0135 & 29.7339 & 390.477 & 475.739 & -6719.72 & -9440.52 & 13.4156 & & -28.2127 & -19.8561 \\
& -9134.53 & 0.0711327 & 3.08E+10 & 360420 & & 20.3865 & 29.9421 & 378.888 & 462.393 & -8281.31 & -9663.62 & 12.4277 & & -28.2074 & -19.8561 \\
& -9390.69 & -0.0309291 & 3.97E+10 & 295997 & & 20.7647 & 30.6015 & 359.88 & 484.513 & -5065.59 & -9134.86 & 13.6274 & & -28.3904 & -19.8561 \\
& -9134.47 & 0.0804281 & 4.70E+10 & 334360 & & 20.6145 & 27.8698 & 381.484 & 474.708 & -4226.77 & -8811.44 & 13.4809 & & -28.0928 & -19.8561 \\
& -9568.88 & 0.0785976 & 3.02E+10 & 296580 & & 20.5503 & 29.785 & 398.854 & 455.846 & -7596.93 & -8997.45 & 13.5753 & & -28.1787 & -19.8561 \\
& -9272.85 & 0.0817261 & 2.52E+10 & 306300 & & 20.8571 & 29.6731 & 380.627 & 470.576 & -6667.08 & -9397.49 & 13.1267 & & -28.1215 & -19.6839 \\
& -9212.05 & 0.0702678 & 2.59E+10 & 335460 & & 20.1083 & 30.1306 & 381.129 & 463.962 & -8674.4 & -9315.6 & 12.7335 & & -28.2767 & -19.8561 \\
& -9726.64 & 0.0741334 & 3.79E+10 & 363524 & & 21.4061 & 29.8537 & 332.172 & 458.809 & -6933.42 & -9365.76 & 13.402 & & -28.2994 & -19.8561 \\
& -10457.2 & 0.081483 & 3.46E+10 & 313260 & & 21.4092 & 29.7197 & 333.342 & 476.861 & -8640.37 & -9338.14 & 13.5832 & & -28.3677 & -19.8561 \\
& -9173.48 & 0.0870585 & 3.42E+10 & 312000 & & 20.6161 & 29.6849 & 336 & 471.518 & -6486.48 & -9721.42 & 13.651 & & -28.1929 & -19.8561 \\
& -9133.36 & 0.0840459 & 3.16E+10 & 381645 & & 20.5456 & 30.4368 & 362.339 & 459.739 & -6593.12 & -9396.22 & 13.5676 & & -28.2393 & -19.8561 \\
& -9391.21 & 0.0797617 & 4.23E+10 & 346620 & & 20.5208 & 29.7877 & 368.834 & 477.598 & -6145.95 & -9651.49 & 13.1248 & & -28.3445 & -19.8561 \\
& -9568.74 & 0.074442 & 2.17E+10 & 311040 & & 18.9379 & 29.5349 & 355.219 & 475.06 & -8780 & -9200.77 & 13.5091 & & -28.3269 & -19.8561 \\
\hline \\
Avg. & -9136.0847666667 & 0.06459572 & 3.06E+10 & 3.19E+05 & 2.07E+01 & 2.94E+01 & 3.42E+02 & 4.71E+02 & 4.71E+02 & -7.05E+03 & -8.63E+03 & 1.33E+01 & -2.74E+01 & -2.74E+01 & -1.98E+01 \\
Med. & -9390.945 & 0.0768975 & 30729500000 & 334920 & 20.65365 & 29.71125 & 368.6645 & 473.26 & 473.26 & -6885.62 & -9258.185 & 13.4088 & -28.235 & -28.235 & -19.8561 \\
Std. Dev. & 1736.4971456685 & 0.0388817803 & 7961125157.97467 & 67087.9428677671 & 0.5231419506 & 1.8518270929 & 94.7625256457 & 8.3344717638 & 8.3344717638 & 1094.2052693977 & 2486.4963265932 & 0.3016843863 & 4.5304816776 & 4.5304816776 & 0.0690085236 \\
\hline \\
\end{tabular}
}
}
\small{Random Search Running Times in Seconds}
\hskip+2.5cm\scalebox{0.5}{
\begin{tabular}{l || l | l | l}
\textbf{Dimensions} & 10 & 20 & 30 \\
\hline \\
Function 1 & 0.0028796196 & 0.0027256012 & 0.004216671 \\
Function 2 & 0.0037307739 & 0.0027096272 & 0.0042328835 \\
Function 3 & 0.0027823448 & 0.0035073757 & 0.003777504 \\
Function 4 & 0.0041363239 & 0.0041460991 & 0.0026381016 \\
Function 5 & 0.0037288666 & 0.003030777 & 0.0026414394 \\
Function 6 & 0.0037727356 & 0.0028493404 & 0.0026321411 \\
Function 7 & 0.0035896301 & 0.0027751923 & 0.0037312508 \\
Function 8 & 0.0035607815 & 0.0028815269 & 0.0037713051 \\
Function 9 & 0.0044622421 & 0.0026602745 & 0.0027508736 \\
Function 10 & 0.0040593147 & 0.0027322769 & 0.0027010441 \\
Function 11 & 0.0030579567 & 0.0026328564 & 0.0026137829 \\
Function 12 & 0.0029666424 & 0.0026972294 & 0.0026974678 \\
Function 13 & 0.0027945042 & 0.003254652 & 0.0025961399 \\
Function 14 & 0.0028162003 & 0.004308939 & 0.0026042461 \\
Function 15 & 0.0027165413 & 0.0028510094 & 0.0024940968 \\
\hline
\end{tabular}
}\\[0.5cm]
\small{Local Search Running Times in Seconds}
\hskip+2.5cm\scalebox{0.5}{
\begin{tabular}{l || l | l | l}
\textbf{Dimensions} & 10 & 20 & 30 \\
\hline \\
Function 1 & 0.2714903355 & 0.3662781715 & 0.8037896156 \\
Function 2 & 0.0122189522 & 0.1061990261 & 0.0311796665 \\
Function 3 & 0.0036041737 & 0.0034754276 & 0.0039658546 \\
Function 4 & 0.0045986176 & 0.0037958622 & 0.0057651997 \\
Function 5 & 3.5046873093 & 107.3777658939 & 237.3515529633 \\
Function 6 & 0.0053646564 & 0.0071499348 & 0.0078163147 \\
Function 7 & 0.1593027115 & 0.1934890747 & 36.0658888817 \\
Function 8 & 0.0124971867 & 0.1606588364 & 0.0684037209 \\
Function 9 & 0.0049269199 & 0.0049231052 & 0.0069723129 \\
Function 10 & 0.0056340694 & 0.0120668411 & 0.0046567917 \\
Function 11 & 0.0049116611 & 0.1781361103 & 3.4641461372 \\
Function 12 & 0.0035014153 & 0.0031409264 & 0.0071520805 \\
Function 13 & 0.0022878647 & 0.0031747818 & 0.008487463 \\
Function 14 & 0.0166265965 & 0.1419093609 & 0.2867805958 \\
Function 15 & 0.0709223747 & 0.0597565174 & 0.1033499241 \\
\hline \\
\end{tabular}
} \\[0.5cm]
\small{Iterative Local Search Running Times in Seconds}
\hskip+2.5cm\scalebox{0.5}{
\begin{tabular}{l || l | l | l}
\textbf{Dimensions} & 10 & 20 & 30 \\
\hline \\
Function 1 & 5.355587244 & 21.5247523785 & 47.5882720947 \\
Function 2 & 0.4999251366 & 1.151144743 & 2.4649145603 \\
Function 3 & 0.0042607784 & 0.0112228394 & 0.0144929886 \\
Function 4 & 0.0058951378 & 0.0114533901 & 0.0161828995 \\
Function 5 & 150.1059572697 & 2928.3961615563 & N/A \\
Function 6 & 0.0101454258 & 0.0255510807 & 0.0222308636 \\
Function 7 & 32.4964332581 & 41.5021996498 & 168.8056237698 \\
Function 8 & 0.3526818752 & 1.6770370007 & 3.8826031685 \\
Function 9 & 0.0110986233 & 0.0125215054 & 0.0229070187 \\
Function 10 & 0.0899729729 & 0.2644715309 & 0.7342042923 \\
Function 11 & 30.093629837 & 165.0208876133 & 384.6772966385 \\
Function 12 & 297.458874464 & 25.3617525101 & 21.2174470425 \\
Function 13 & 0.0197796822 & 0.0436241627 & 0.0463643074 \\
Function 14 & 1.5726833344 & 7.7616007328 & 9.7854065895 \\
Function 15 & 6.6486163139 & 23.9164574146 & 32.7224471569 \\
\hline \\
\end{tabular}
} \\[0.5cm]
\section{Previous Results}
\hskip+1.0cm\scalebox{0.7}{
\begin{tabular}{| l | l | l | l | l | l|}
\hline
Function & Dimensionality & Mean & Median & Deviation & Avg. Time \\ \hline
Schwefel's & 10 & 40.03647 & 0.0623 & 547.27404 & 3.1285 \\ \hline
& 20 & -273.92765 & 16.52 & 883.3137 & 2.942 \\ \hline
& 30 & -63.79153 & 255.3487 & 925.71758 & 3.132 \\ \hline
De Jong's & 10 & 3775.96667 & 3772 & 3116.12957 & 0.667 \\ \hline
& 20 & 3748.5 & 4105 & 2885.095608 & 0.132 \\ \hline
& 30 & 3429.8334 & 3429 & 2608.0073 & 0.0933 \\ \hline
Rosenbrock & 10 & 2093118197.7 & 951513386 & 2466626292.4 & 0.90 \\ \hline
& 20 & 2109933654.57 & 997811808.5 &2696811330.46 & 1.679 \\ \hline
& 30 & 1784558137.97 & 543961363 & 2372214627.61 & 2.98 \\ \hline
Rastrigin & 10 & 318.2 & 262.5 & 289.575003684 & 1.04 \\ \hline
& 20 & 202.2666667 & 111 & 232.951516834 & 1.98 \\ \hline
& 30 & 309.9 & 246 & 264.111829763 & 2.788 \\ \hline
Griegwangk & 10 & 27.326983 & 22.8316 & 19.94304775 & 1.32 \\ \hline
& 20 & 22.247975 & 18.4916 & 17.41881647 & 4.98 \\ \hline
& 30 & 25.04950833 & 24.1043 & 19.11108789 & 5.67 \\ \hline
Sine Envelope Sine Wave & 10 & -4.70534 &-4.6083 & 0.2380683 & 1.112 \\ \hline
& 20 & -9.805175 & -9.6732 & 0.3503130 & 2.223 \\ \hline
& 30 & -15.1282 & -15.0166 & 0.410964 & 4.121 \\ \hline
Stretched V Sine Wave & 10 & -5.85114 & -5.8511 & 4.5168102e-15 & 3.55 \\ \hline
& 20 & -12.3524 & -12.35 & 5.420172e-15 & 6.88 \\ \hline
& 30 & -18.8536 & -18.8537 & 3.61344822e-15 & 9.87 \\ \hline
Ackley's One & 10 & 187.917 & 184.0721 & 33.190007 & 3.1298 \\ \hline
& 20 & 389.45238 & 382.962 & 40.1378 & 4.6731 \\ \hline
& 30 & 593.39786 & 599.1116 & 64.28003 & 8.7728 \\ \hline
Ackley's Two & 10 & 217.1978 & 217.922 & 2.26465 & 3.055 \\ \hline
& 20 & 456.7024 & 459.70244 & 6.447889 & 7.001 \\ \hline
& 30 & 698.9139 & 700.1936 & 4.42437 & 8.4356 \\ \hline
Egg Holder & 10 & -374.3114 & -529.396 & 877.367109 & 1.998 \\ \hline
& 20 & -197.32204 & -339.2197 & 1196.0543 & 4.7621 \\ \hline
& 30 & -533.43484 & -507.8253 & 1366.0572 & 6.9981 \\ \hline
Rana & 10 & 126.682 & 92.4435 & 762.991158 & 5.1433 \\ \hline
& 20 & 44.632258 & 144.748 & 897.22947 & 9.4239 \\ \hline
& 30 & 147.21517 & 280.21517 & 1161.5825 & 14.221 \\ \hline
Pathological & 10 & 4.7605744 & 4.5666& 0.320334 & 3.1561 \\ \hline
& 20 & 10.02892 & 9.9324 & 0.485784 & 3.9714 \\ \hline
& 30 & 15.28425 & 15.1622 & 0.66075 & 4.9912 \\ \hline
Michalewicz & 10 & 0.904288 & 0.942 & 0.544008 & 1.3241 \\ \hline
& 20 & 1.73464 & 1.5955 & 0.733736 & 3.1149 \\ \hline
& 30 & 2.108609 & 1.9897 & 0.974908 & 4.8229 \\ \hline
Masters Cosine Wave & 10 &0.6488827 & 0.5623 & 2.0702 & 2.3341 \\ \hline
& 20 & -1.492407& -1.0483& 2.270724 & 3.4256 \\ \hline
& 30 & 0.885458 & 0.9459 & 3.441345 & 5.3243 \\ \hline
Shekel's Foxhole & 10 & -0.2105669 & -0.2023 & 0.038925 & 4.5623 \\ \hline
\end{tabular}
}
\end{document}

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\title{
%\vspace{-1in}
\usefont{OT1}{bch}{b}{n}
\normalfont \normalsize \textsc{Central Washington University of the Computer Science Department} \\ [25pt]
\horrule{0.5pt} \\[0.4cm]
\huge Project 2 \\
\horrule{2pt} \\[0.5cm]
}
\author{\normalsize Mitchell Hansen \\[-6pt]}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}
\maketitle
\section{Introduction}
For this lab we took the 15 functions that we programmed in the previous
lab and ran them through 3 different optimization functions, each more
accurate than the previous. We have random search, which blindly tests
randomized solutions looking for an optimum. Secondly we have local search,
which takes an initial randomized solution and then attempts to optimize it
until it's at its minimum. Thirdly we have iterative local search, which
combines the two previous functions.
\section{Methods}
A significant portion of the code from the previous lab was rewritten to
allow the functions and search methods to be run from the command line.
Arguments specifying the dimensionality of the solution, id of the funtion,
id of the search method, and a seed are all handled by the program. Using
this backbone, we wrote a trivial python script that executes each search
method on all of the 15 functions being tested for each dimensionality.
There currently is an issue with runtimes being significant for a select
few functions on high dimensionalties. As a result some data points have
been omitted.
\section{Analysis}
There were various interesting results both in the new data, what the new
functions were able to find in terms of minimums, and how close some data
points got to the last lab where the search was purely random.
Comparing the new data from the Iterative Local Search (ILS) and the Local
Search (LS) with the previous results, we see that the purely naive method
that we used previously is actually quite sufficient for a few select functions,
namely: Sine Envelope Sine Wave, Pathological, Rosenbrok, and Ackleys
Two functions. Each of these functions evaluated to very similar solutions
in all three methods, naive, ILS and LS. Often being within 10\% of each other.
The differences between the two new methods used in this lab, ILS and LS
are mainly negligible in their cumulative accuracy. There are
some examples where the search methods differ more than others. Griegwangk
and Egg Holder differ the most between the two methods, with a 100 - 200 \%
difference seen between the methods. For single runs of the functions though,
ILS is superior to LS as can be seen in the graphics below for two seperate
runs of ILS on differing functions. The top line being the single run results,
and the bottom being the running best solution.
\scalebox{0.4}{\includegraphics{figure_1}}
\scalebox{0.4}{\includegraphics{figure_2}}
There were also a few problems with the expirementation, one being the fact that
we neglected the fact that the delta value within the LS and ILS functions could
throw the function outside of its specified bounds. The implimentation checked
each of these bounds each function call, but only returned 0 if it exceeded them.
Thus some results have errenous values of either 0 or some other integer value.
Another problem, as mentioned again in the conclusion, is the runtime of these
search methods. In particular, function 5 and 13 ran extremely slow. Slow enough
for the results having to be omitted as it would take longer to obtain the results
than we have time for the lab. We hope to speed up the implimentation prior to the
next lab and include those results then.
All testing was done on an i7-3630QM with 16GB ram using a single thread.
Complete results can be viewed in the sections below.
\section{Conclusion}
The search functions in this lab seem to behave much more accurately than the
random search in the previous lab. Not only are the new functions seemingly accurate,
but they also appear to repeat their values consistently giving the appearance that
they are coming up with a somewhat correct answer. Unfortunately, it seems where these
new functions fall down is in their performance. In the 30 dimension trials for this lab,
there were multiple functions where results had to be omitted because of running time issues.
Some taking up to multiple hours to run for their full permutation count. We hope to see
functions which take care of these issues in the upcoming labs.
\section{Results}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Random Search, 10 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -1223.19 & 13286 & 3.18E+09 & 24260 & 114.244 & 5.52567 & 18.2586 & 154.502 & 145.101 & -1714.21 & -1147.36 & 3.95561 & -1.64259 & -3.31459 & -19.1981 \\
& -1399.06 & 19906 & 1.96E+09 & 16700 & 90.6946 & 6.07905 & 20.4112 & 102.177 & 142.077 & -1648.81 & -1560.96 & 4.09041 & -1.39102 & -4.9016 & -19.1981 \\
& -1010.48 & 14917 & 6.76E+09 & 24520 & 51.8071 & 6.28399 & 21.7189 & 125.452 & 138.122 & -1661.62 & -1122.59 & 4.06708 & -1.34332 & -5.57971 & -19.1981 \\
& -1934.21 & 13942 & 4.96E+09 & 29540 & 122.229 & 5.67277 & 19.682 & 123.082 & 139.72 & -2343.48 & -1408.66 & 4.03919 & -1.86534 & -4.43512 & -19.1981 \\
& -794.372 & 14642 & 3.77E+09 & 19260 & 51.4992 & 5.64587 & 17.3606 & 130.231 & 146.019 & -1927.46 & -1392.74 & 4.02665 & -0.919067 & -2.9242 & -19.1981 \\
& -1431.49 & 10213 & 5.51E+09 & 15600 & 99.3078 & 6.37517 & 19.3915 & 106.105 & 147.534 & -1693.06 & -1590.86 & 3.81288 & -1.94752 & -4.41244 & -19.1981 \\
& -1222.58 & 14061 & 6.24E+09 & 27600 & 61.8407 & 5.95916 & 21.8219 & 134.971 & 138.811 & -1120.32 & -1274.41 & 3.90444 & -0.949296 & -5.21336 & -19.1981 \\
& -1659.45 & 14265 & 3.86E+09 & 12040 & 77.3118 & 6.59486 & 19.6264 & 107.374 & 137.152 & -2115.97 & -1151.79 & 3.9272 & -2.01492 & -4.14032 & -10.3861 \\
& -1495.15 & 16757 & 7.43E+09 & 29540 & 90.1975 & 5.82742 & 17.0893 & 118.252 & 133.507 & -1385.32 & -1145.69 & 4.03879 & -1.59431 & -4.89982 & -19.1981 \\
& -869.356 & 16426 & 4.32E+09 & 32060 & 34.4248 & 5.79818 & 19.4186 & 111.549 & 133.483 & -1677.77 & -859.394 & 4.00669 & -0.948425 & -5.22481 & -13.4604 \\
& -1039.51 & 18099 & 3.32E+09 & 34560 & 91.9329 & 6.26357 & 21.1327 & 114.807 & 140.81 & -1668.54 & -1128.23 & 4.07449 & -1.05552 & -3.01325 & -19.1981 \\
& -919.612 & 12176 & 6.94E+09 & 25180 & 90.0024 & 6.26924 & 16.2619 & 113.944 & 128.653 & -2016.45 & -873.684 & 4.06288 & -1.4206 & -4.45688 & -19.1981 \\
& -1506.41 & 14320 & 5.21E+08 & 31120 & 108.815 & 6.47541 & 18.8506 & 92.2691 & 142.909 & -2022.87 & -1605.81 & 4.00233 & -1.76635 & -2.84643 & -19.1981 \\
& -1418.55 & 20724 & 2.01E+09 & 26780 & 82.2471 & 6.03665 & 19.3898 & 106.227 & 133.068 & -2409.09 & -1688.21 & 4.16777 & -2.26334 & -4.32598 & -19.1981 \\
& -1011.89 & 18565 & 7.75E+09 & 23560 & 95.8855 & 6.32915 & 17.2525 & 114.955 & 133.399 & -3479.56 & -988.721 & 4.03036 & -1.32162 & -4.01327 & -19.1981 \\
& -1408.31 & 15157 & 5.16E+09 & 23300 & 85.4808 & 5.70288 & 18.6271 & 150.783 & 138.84 & -2023.31 & -1078.79 & 4.00918 & -1.95085 & -4.44009 & -19.1981 \\
& -748.024 & 23811 & 2.54E+09 & 18940 & 147.794 & 5.43586 & 20.034 & 137.888 & 138.61 & -2389.56 & -1342.49 & 3.70141 & -1.36667 & -4.68997 & -19.1981 \\
& -1638.56 & 18165 & 5.13E+08 & 15660 & 116.448 & 5.86329 & 18.6616 & 114.843 & 144.891 & -2692.09 & -1348.9 & 4.1051 & -2.70373 & -4.78687 & -19.1981 \\
& -840.918 & 20571 & 5.90E+09 & 29040 & 88.0594 & 6.07913 & 21.4554 & 108.89 & 148.508 & -1373.66 & -709.318 & 4.16242 & -1.27512 & -3.5624 & -19.1981 \\
& -918.388 & 19467 & 5.67E+09 & 18540 & 86.3758 & 5.50249 & 16.6631 & 117.034 & 138.953 & -1841.87 & -1118.65 & 4.05446 & -1.43019 & -4.92021 & -19.1981 \\
& -1914.4 & 14579 & 4.51E+09 & 35380 & 112.945 & 6.45106 & 17.4196 & 113.865 & 137.99 & -1295.97 & -1449.41 & 4.04415 & -1.21765 & -3.82571 & -19.1981 \\
& -1152.74 & 16613 & 8.29E+09 & 27140 & 93.3062 & 6.2383 & 18.8128 & 120.968 & 143.59 & -1384.85 & -1405.02 & 4.21014 & -0.963691 & -5.42752 & -13.344 \\
& -1484.78 & 18381 & 5.35E+09 & 36160 & 58.6201 & 6.30713 & 17.9042 & 130.23 & 135.182 & -1930.82 & -1426.85 & 4.00492 & -1.37802 & -4.93164 & -19.1981 \\
& -1049.66 & 8486 & 3.92E+09 & 19580 & 112.332 & 6.55806 & 19.9514 & 141.112 & 135.308 & -1799.74 & -884.562 & 4.23598 & -2.511 & -3.99085 & -13.4604 \\
& -1093.92 & 16661 & 6.44E+09 & 24500 & 92.3324 & 6.30898 & 20.232 & 121.163 & 130.104 & -1710.14 & -967.321 & 4.06013 & -2.29801 & -6.0234 & -19.1981 \\
& -1412.25 & 18188 & 5.81E+09 & 26880 & 109.978 & 5.70144 & 13.2134 & 90.171 & 134.353 & -1785.93 & -819.994 & 3.77693 & -1.0307 & -5.92079 & -19.1981 \\
& -1186.11 & 13189 & 3.77E+09 & 19320 & 106.128 & 6.27975 & 18.8899 & 136.097 & 146.582 & -1703.69 & -1298.35 & 3.73847 & -0.944601 & -3.52666 & -19.1981 \\
& -1356.38 & 18343 & 2.37E+09 & 13500 & 65.7106 & 5.97634 & 21.5128 & 115.854 & 140.762 & -2070.81 & -1319.27 & 4.18465 & -1.24715 & -5.7363 & -19.1981 \\
& -1528.85 & 17689 & 1.03E+10 & 18840 & 107.888 & 6.00707 & 15.2945 & 94.1472 & 144.7 & -3449.27 & -1375.83 & 4.14164 & -1.64993 & -3.02796 & -19.1981 \\
& -1063.76 & 15783 & 2.62E+09 & 32600 & 97.6585 & 6.46626 & 22.6138 & 123.843 & 131.62 & -1700.03 & -1291.51 & 4.01155 & -1.00427 & -4.24119 & -19.1981 \\
\hline \\
Avg. & -1257.7453333333 & 16246.0666666667 & 4.72E+09 & 2.44E+04 & 9.14E+01 & 6.07E+00 & 1.90E+01 & 1.19E+02 & 1.39E+02 & -1.93E+03 & -1.23E+03 & 4.02E+00 & -1.51E+00 & -4.43E+00 & -1.83E+01 \\
Med. & -1222.885 & 16519.5 & 4735540000 & 24510 & 92.13265 & 6.07909 & 19.13985 & 116.444 & 138.8255 & -1792.835 & -1282.96 & 4.03899 & -1.38452 & -4.437605 & -19.1981 \\
Std. Dev. & 315.9494375281 & 3243.999978032 & 2288019739.0926 & 6682.1279905999 & 24.08152579 & 0.3362814731 & 2.0863159585 & 15.7480637114 & 5.4144432384 & 542.1878355628 & 253.2605529849 & 0.1313044821 & 0.4955181247 & 0.901789508 & 2.3117761941 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Random Search, 20 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -1910.87 & 40054 & 1.87E+10 & 122800 & 316.532 & 13.3092 & 54.0294 & 272.443 & 302.424 & -4041.92 & -1817.15 & 8.84883 & -2.46942 & -5.56505 & -12.4756 \\
& -1696.99 & 45772 & 7.63E+09 & 147520 & 297.122 & 14.295 & 50.705 & 272.861 & 303.698 & -4286.27 & -2370.93 & 8.81079 & -1.86537 & -5.17117 & -14.6404 \\
& -3381.59 & 40944 & 1.07E+10 & 111960 & 261.007 & 14.2375 & 48.5996 & 293.562 & 312.574 & -2033.17 & -1370.09 & 7.86544 & -1.92465 & -5.47614 & -14.6404 \\
& -2309.24 & 43289 & 2.03E+10 & 114080 & 249.051 & 13.181 & 46.7492 & 254.37 & 312.802 & -2243.62 & -1637.31 & 8.75968 & -3.27363 & -7.05667 & -14.6404 \\
& -3308.55 & 45667 & 1.77E+10 & 98840 & 258.288 & 13.4705 & 48.7221 & 303.815 & 317.885 & -2736.5 & -1716.73 & 8.69769 & -2.13134 & -8.56678 & -14.6404 \\
& -1776.1 & 35152 & 1.97E+10 & 128360 & 282.098 & 14.0992 & 49.7351 & 295.107 & 293.715 & -3083.96 & -1337.39 & 8.904 & -2.72989 & -4.97279 & -14.6404 \\
& -2495.52 & 42321 & 1.55E+10 & 149040 & 314.038 & 12.2785 & 48.4086 & 311.61 & 312.538 & -2241.98 & -1953.24 & 8.84628 & -2.22338 & -5.40834 & -14.6404 \\
& -1753.65 & 54835 & 2.34E+10 & 144560 & 253.313 & 14.0274 & 52.4705 & 265.832 & 306.999 & -2809.58 & -1617.48 & 9.03187 & -2.36168 & -7.64268 & -14.6404 \\
& -1574.77 & 42698 & 1.66E+10 & 105920 & 253.962 & 13.7941 & 47.9362 & 205.073 & 314.335 & -3135.48 & -1120.02 & 8.97631 & -1.76927 & -7.50096 & -12.4756 \\
& -2206.58 & 47544 & 1.38E+10 & 92400 & 267.474 & 12.5201 & 50.5015 & 300.654 & 299.266 & -2352.88 & -1563.85 & 8.57557 & -1.90659 & -4.65802 & -14.6404 \\
& -2159.17 & 27230 & 1.29E+10 & 135280 & 252.351 & 13.261 & 45.9535 & 202.094 & 304.092 & -3073.25 & -2085.45 & 8.53621 & -1.87303 & -8.01815 & -14.6404 \\
& -2138.87 & 42123 & 1.63E+10 & 172680 & 271.911 & 13.2188 & 44.2571 & 238.99 & 310.573 & -2373.5 & -1490.61 & 8.82391 & -1.49354 & -5.60778 & -14.6404 \\
& -1491.32 & 41559 & 1.57E+10 & 120560 & 264.467 & 14.7017 & 49.9226 & 270.661 & 314.715 & -4606.54 & -1594.99 & 8.57499 & -2.34868 & -6.03643 & -12.4756 \\
& -1716.67 & 43371 & 1.96E+10 & 146160 & 256.312 & 13.2972 & 47.8418 & 296.121 & 299.162 & -2949.32 & -1714.88 & 8.94451 & -1.42826 & -7.75141 & -14.6404 \\
& -1353.62 & 30573 & 2.00E+10 & 160960 & 304.457 & 13.6341 & 44.8636 & 281.098 & 302.466 & -2253.05 & -1586.38 & 8.79012 & -3.8665 & -4.02897 & -14.6404 \\
& -1876.11 & 37188 & 1.04E+10 & 89680 & 268.29 & 12.9539 & 43.9137 & 251.274 & 294.581 & -3173.41 & -1092.65 & 8.51772 & -2.85364 & -4.28 & -14.6404 \\
& -1933.32 & 34504 & 2.32E+10 & 145600 & 255.038 & 14.1056 & 52.7792 & 271.035 & 300.68 & -3193.08 & -1565.67 & 8.89243 & -1.22167 & -6.49108 & -14.6404 \\
& -1778.81 & 32208 & 1.21E+10 & 164080 & 250.116 & 13.5012 & 48.5518 & 321.977 & 304.95 & -2310.76 & -1192.91 & 8.99516 & -2.24735 & -3.84925 & -14.6404 \\
& -1429.94 & 42230 & 1.93E+10 & 139160 & 279.049 & 14.2125 & 47.4455 & 275.462 & 308.209 & -2107.31 & -2552.48 & 8.58813 & -1.87343 & -8.05159 & -14.6404 \\
& -1987.26 & 40385 & 2.04E+10 & 151400 & 276.766 & 12.8164 & 53.0487 & 282.964 & 315.214 & -2678.56 & -2387 & 8.6457 & -3.03476 & -6.09081 & -14.6404 \\
& -1213.51 & 37332 & 1.51E+10 & 158560 & 261.681 & 13.675 & 47.6498 & 259.175 & 303.699 & -2531.58 & -1766.16 & 8.84001 & -2.59238 & -3.25015 & -12.4756 \\
& -1695.59 & 32437 & 1.90E+10 & 128640 & 275.131 & 13.0249 & 46.3462 & 248.083 & 306.287 & -2644.79 & -1901.53 & 8.95061 & -2.73942 & -4.03195 & -14.6404 \\
& -1844.9 & 40572 & 2.06E+10 & 166080 & 249.066 & 14.0993 & 44.662 & 267.558 & 302.1 & -2844.67 & -2131.51 & 9.07241 & -1.88671 & -4.71827 & -14.6404 \\
& -2039.62 & 48632 & 1.87E+10 & 138960 & 245.71 & 13.6312 & 38.0255 & 275.48 & 312.316 & -1829.93 & -2004.13 & 8.91483 & -1.52482 & -8.56454 & -14.6404 \\
& -1689.48 & 44937 & 1.61E+10 & 124600 & 282.54 & 13.3536 & 45.8805 & 290.598 & 305.559 & -2133.36 & -1566.78 & 8.72377 & -3.27145 & -6.96928 & -14.6404 \\
& -1633.96 & 51091 & 1.63E+10 & 117000 & 229.145 & 13.471 & 45.3704 & 307.327 & 311.438 & -1961.85 & -2460.35 & 8.80427 & -2.06181 & -7.33068 & -14.6404 \\
& -2439.89 & 45380 & 7.91E+09 & 140880 & 310.028 & 13.7849 & 39.4548 & 280.565 & 301.484 & -3402.53 & -2003.01 & 8.76709 & -2.71809 & -5.60029 & -14.6404 \\
& -2364.89 & 38298 & 1.23E+10 & 145760 & 238.505 & 14.0388 & 46.8051 & 290.425 & 309.168 & -2827.15 & -1049.02 & 8.70034 & -2.46217 & -7.9223 & -14.6404 \\
& -1855.61 & 47187 & 1.06E+10 & 137680 & 248.9 & 13.9612 & 48.5063 & 302.025 & 305.866 & -2152.73 & -1918.95 & 8.4452 & -2.47409 & -6.79521 & -12.4756 \\
& -1260.76 & 46347 & 1.16E+10 & 130600 & 281.027 & 13.9532 & 49.979 & 252.528 & 301.864 & -1840.58 & -1860.37 & 8.04923 & -2.63026 & -7.00734 & -14.6404 \\
\hline \\
Avg. & -1943.9053333333 & 41395.3333333333 & 1.61E+10 & 1.34E+05 & 2.68E+02 & 1.36E+01 & 4.76E+01 & 2.75E+02 & 3.06E+02 & -2.73E+03 & -1.75E+03 & 8.73E+00 & -2.31E+00 & -6.15E+00 & -1.43E+01 \\
Med. & -1850.255 & 42176.5 & 16269000000 & 138320 & 263.074 & 13.63265 & 47.889 & 275.471 & 305.7125 & -2661.675 & -1715.805 & 8.797195 & -2.298015 & -6.06362 & -14.6404 \\
Std. Dev. & 503.7270251575 & 6204.5677408321 & 4287970694.60419 & 21553.682353336 & 22.5100649673 & 0.5550063904 & 3.5839928835 & 28.0219424426 & 6.1634317364 & 693.8827057417 & 399.7555341973 & 0.2654236567 & 0.6045133055 & 1.5251158054 & 0.8205653224 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Random Search, 30 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -2360.73 & 76232 & 3.56E+10 & 354540 & 429.015 & 21.1792 & 78.9986 & 444.386 & 468.28 & -3685.03 & -2174.65 & 13.6966 & -3.39811 & -7.7131 & -18.886 \\
& -2223.96 & 77130 & 2.33E+10 & 427440 & 482.271 & 21.4306 & 78.5455 & 477.565 & 481.841 & -3105.05 & -1719.81 & 13.3772 & -2.28782 & -5.96241 & -18.886 \\
& -2310.43 & 79924 & 2.53E+10 & 381060 & 438.418 & 22.4267 & 85.9081 & 431.309 & 476.297 & -2717.31 & -3512.41 & 13.4609 & -2.95267 & -9.47434 & -18.886 \\
& -1233.77 & 74245 & 3.11E+10 & 405060 & 500.971 & 20.6669 & 77.8205 & 460.647 & 478.937 & -3095.92 & -2547.58 & 13.8835 & -3.62638 & -9.1978 & -18.886 \\
& -1528.18 & 72335 & 3.46E+10 & 407400 & 480.637 & 21.006 & 85.0255 & 492.562 & 464.278 & -5541.45 & -2344.66 & 13.9109 & -2.60874 & -9.66453 & -13.3197 \\
& -1924.52 & 62337 & 2.96E+10 & 350940 & 400.405 & 21.2461 & 72.6017 & 482.764 & 483.487 & -3317.2 & -2334.39 & 13.194 & -2.35764 & -10.1073 & -18.886 \\
& -2423.33 & 65161 & 2.41E+10 & 257700 & 455.803 & 21.3956 & 79.6323 & 453.521 & 483.905 & -2929.27 & -3939.27 & 13.9277 & -2.81222 & -11.1674 & -18.886 \\
& -3297.71 & 56282 & 2.22E+10 & 333720 & 423.001 & 21.1405 & 72.1825 & 455.991 & 472.822 & -3685.92 & -2244.92 & 13.5072 & -3.4393 & -8.00828 & -13.3197 \\
& -2605.99 & 55514 & 2.99E+10 & 258960 & 432.783 & 20.5493 & 77.5907 & 487.188 & 468.534 & -2270.3 & -1770.48 & 13.8159 & -2.20179 & -7.3187 & -18.886 \\
& -2324.67 & 56507 & 3.57E+10 & 321720 & 497.616 & 21.1693 & 81.6804 & 548.596 & 472.64 & -4354.96 & -2232.69 & 13.4288 & -3.11785 & -9.96651 & -18.886 \\
& -3097.93 & 68919 & 3.54E+10 & 281160 & 311.272 & 21.3644 & 76.7997 & 473.195 & 482.708 & -3184.8 & -1491.68 & 13.6581 & -4.08066 & -11.396 & -18.886 \\
& -1810.75 & 74399 & 2.33E+10 & 325980 & 488.695 & 20.1705 & 79.5259 & 425.339 & 467.469 & -3514.4 & -2784.74 & 13.3882 & -2.20352 & -5.85588 & -13.3197 \\
& -2695.32 & 74130 & 2.86E+10 & 286740 & 445.725 & 21.7638 & 78.5654 & 443.915 & 465.322 & -3661.35 & -2224.44 & 13.7479 & -2.58372 & -8.03162 & -18.886 \\
& -1394.7 & 45078 & 4.43E+10 & 366540 & 392.949 & 19.8834 & 78.3782 & 443.771 & 474.73 & -2292.49 & -2073.16 & 13.8387 & -1.60751 & -8.19351 & -18.886 \\
& -2988.33 & 76470 & 3.30E+10 & 356040 & 403.55 & 22.1061 & 66.4539 & 479.545 & 474.343 & -5213 & -2393.19 & 13.621 & -1.97457 & -7.41504 & -18.886 \\
& -2107.9 & 64868 & 2.55E+10 & 335760 & 315.955 & 21.3366 & 76.1817 & 456.456 & 475.502 & -3594.52 & -1990.68 & 13.2762 & -1.95789 & -9.20082 & -18.886 \\
& -2979.51 & 66791 & 3.77E+10 & 300600 & 476.424 & 22.0409 & 79.8235 & 481.37 & 480.499 & -3226.79 & -2044.33 & 13.4292 & -3.30836 & -8.31641 & -18.886 \\
& -2513.73 & 63196 & 2.56E+10 & 378900 & 308.324 & 22.2978 & 73.8612 & 430.727 & 475.581 & -3321.28 & -2602.19 & 13.2479 & -3.04897 & -7.98816 & -18.886 \\
& -1622.69 & 62073 & 2.68E+10 & 370080 & 453.052 & 21.0996 & 80.359 & 480.134 & 477.041 & -3560.86 & -2227.66 & 13.4122 & -2.65343 & -9.57417 & -13.3197 \\
& -898.919 & 71119 & 3.36E+10 & 275400 & 394.268 & 21.1665 & 76.3499 & 475.151 & 482.187 & -3499.9 & -2010.88 & 13.8071 & -1.77653 & -6.50943 & -18.886 \\
& -2228.64 & 59344 & 2.66E+10 & 365520 & 446.585 & 21.9857 & 81.2511 & 473.327 & 469.027 & -4350.96 & -2530.21 & 13.1101 & -2.27438 & -6.5663 & -18.886 \\
& -2524.28 & 70564 & 2.93E+10 & 375960 & 467.46 & 20.6626 & 76.0828 & 458.589 & 473.993 & -3010.55 & -2107.52 & 13.5724 & -2.93552 & -3.36125 & -13.3197 \\
& -2141.75 & 69544 & 3.38E+10 & 275040 & 410.104 & 20.1186 & 72.5838 & 471.886 & 472.222 & -2617.06 & -2105.35 & 13.348 & -2.82033 & -5.74818 & -18.886 \\
& -2203.34 & 72793 & 3.62E+10 & 380220 & 406.591 & 22.0699 & 71.4693 & 407.417 & 484.37 & -2650.34 & -2240.99 & 13.9337 & -1.66277 & -8.93489 & -18.886 \\
& -1836.75 & 73045 & 3.98E+10 & 379800 & 514.007 & 22.242 & 79.9503 & 478.007 & 471.384 & -4044.69 & -2652.98 & 13.6287 & -2.44844 & -7.85381 & -18.886 \\
& -1787.41 & 50713 & 3.85E+10 & 296100 & 445.226 & 20.0734 & 76.9451 & 459.307 & 448.98 & -3725.34 & -1302.85 & 13.9199 & -2.28859 & -7.12064 & -18.886 \\
& -3185.05 & 70905 & 2.69E+10 & 374640 & 424.633 & 22.0167 & 74.4666 & 459.963 & 469.897 & -4000.25 & -2647.59 & 13.8378 & -3.37299 & -10.0858 & -18.886 \\
& -2551.98 & 57495 & 3.29E+10 & 370380 & 352.025 & 21.2376 & 81.8073 & 458.902 & 480.163 & -2257.61 & -2125.84 & 13.3929 & -1.83939 & -6.25541 & -18.886 \\
& -2406.77 & 78787 & 2.80E+10 & 403560 & 472.017 & 20.9728 & 79.011 & 416.437 & 481.494 & -2723.46 & -1653.13 & 13.5631 & -1.96041 & -5.54987 & -13.3197 \\
& -2783.41 & 66765 & 2.70E+10 & 322920 & 330.427 & 21.3975 & 80.8424 & 466.09 & 467.905 & -3393.49 & -2011.66 & 13.5916 & -2.33285 & -5.45623 & -18.886 \\
\hline \\
Avg. & -2266.4149666667 & 67088.8333333333 & 3.08E+10 & 3.44E+05 & 4.27E+02 & 2.13E+01 & 7.77E+01 & 4.62E+02 & 4.74E+02 & -3.42E+03 & -2.27E+03 & 1.36E+01 & -2.60E+00 & -7.93E+00 & -1.78E+01 \\
Med. & -2317.55 & 69231.5 & 29737350000 & 355290 & 435.6005 & 21.24185 & 78.46185 & 460.305 & 474.5365 & -3357.385 & -2226.05 & 13.582 & -2.51608 & -7.99822 & -18.886 \\
Std. Dev. & 584.4233609571 & 8739.8871218282 & 5587568894.7127 & 47357.674511872 & 57.409444418 & 0.6956118635 & 4.0959187591 & 26.9132515273 & 7.5943841166 & 775.2133686027 & 526.201488921 & 0.2412609758 & 0.6322303515 & 1.8774263418 & 2.2645829281 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Local Search, 10 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -1722.16 & 0.03025 & 1.31E+10 & 5978.56 & 69.3764 & 7.53377 & 9.04847 & 181.426 & 151.893 & -754.573 & -2406.31 & 4.19767 & -2.05904 & -8.82787 & -8.1772 \\
& -2788.25 & 0.03025 & 1.59E+10 & 29804.2 & 69.0028 & 6.62654 & 9.08272 & 121.985 & 157.316 & 482.297 & -2056.85 & 4.27003 & -0.232247 & -8.81589 & -8.1772 \\
& -1839.66 & 0.03025 & 2.15E+10 & 17368.8 & 63.9238 & 7.28417 & 9.19482 & 170.218 & 140.056 & -1188.15 & -2643.43 & 4.22798 & 0.00103445 & -8.76307 & -8.1772 \\
& -3498.88 & 0.0300057 & 1.25E+10 & 20604.7 & 68.4473 & 5.87015 & 10.7235 & 109.273 & 156.978 & 765.691 & -2240.2 & 4.50026 & 0.0612122 & -8.79559 & -19.1981 \\
& -2373.7 & 0.03025 & 1.93E+10 & 13430.3 & 34.2408 & 7.98904 & 9.18401 & 130.203 & 151.598 & 357.187 & -2195.2 & 4.49177 & 0.843228 & -8.72636 & -19.2635 \\
& -2669.32 & 0.03025 & 1.38E+10 & 13495.7 & 60.3948 & 7.3257 & 9.63616 & 126.236 & 150.787 & -701.815 & -2689.55 & 4.52112 & -0.563567 & -8.62028 & -19.2635 \\
& -2412.63 & 0.0288532 & 1.22E+10 & 30023.6 & 74.2869 & 7.63259 & 9.07038 & 153.164 & 157.549 & -394.844 & -2613.69 & 4.45488 & 0.147295 & -8.74889 & -19.2635 \\
& -2452.59 & 0.03025 & 2.45E+10 & 22446.9 & 42.4768 & 6.59059 & 9.49866 & 167.659 & 153.588 & -2790.05 & -884.232 & 4.49433 & -1.58924 & -8.68392 & -22.0872 \\
& -2827.23 & 0.03025 & 6.57E+09 & 18043.7 & 64.0325 & 6.60687 & 9.40728 & 137.864 & 155.09 & 167.839 & -3035.03 & 4.10601 & 2.38E-05 & -8.77553 & -8.1772 \\
& -3577.85 & 0.0248398 & 1.74E+10 & 25988.4 & 74.2439 & 6.73684 & 9.28461 & 132.581 & 144.729 & -91.2695 & -1509.7 & 4.46538 & -1.92424 & -8.45917 & -11.5852 \\
& -1326.85 & 0.03025 & 2.68E+10 & 7867.05 & 70.423 & 7.52619 & 9.06149 & 111.908 & 154.855 & -117.596 & -2566.91 & 4.49956 & -0.783772 & -8.59181 & -8.1772 \\
& -3735.8 & 0.03025 & 1.80E+10 & 22752.2 & 50.6174 & 6.33447 & 9.1547 & 139.641 & 152.514 & -1316.55 & -2518 & 4.47642 & -0.0463014 & -8.75746 & -19.27 \\
& -2393.27 & 0.03025 & 1.14E+10 & 14274.5 & 40.5886 & 6.41117 & 10.6114 & 224.812 & 151.689 & -1288.83 & -2630.38 & 3.96854 & -1.52409 & -8.57556 & -8.1772 \\
& -2136.79 & 0.0251012 & 1.16E+10 & 13427.8 & 74.9665 & 6.62278 & 9.18783 & 124.629 & 154.597 & -1036 & -2279.34 & 4.08355 & -0.337027 & -8.83124 & -19.27 \\
& -2551.26 & 0.03025 & 2.09E+10 & 14787 & 71.8753 & 6.1052 & 10.2295 & 144.82 & 149.299 & -2255.52 & -2667.36 & 4.48691 & -0.522676 & -8.6941 & -19.27 \\
& -2610.58 & 0.0275071 & 2.19E+10 & 23744.9 & 51.3633 & 6.37208 & 9.21428 & 170.428 & 154.633 & 499.723 & -1960.24 & 4.49717 & -0.225219 & -8.82633 & -22.0364 \\
& -3301.42 & 0.03025 & 1.42E+10 & 17620.1 & 58.3238 & 6.90171 & 9.09557 & 109.074 & 155.68 & -413.377 & -2868.24 & 4.28546 & -0.609139 & -8.78285 & -22.0364 \\
& -2610.41 & 0.0293121 & 1.09E+10 & 27801.8 & 95.0175 & 6.93148 & 9.15471 & 167.973 & 150.033 & 689.394 & -2833.55 & 4.28827 & 0.0360106 & -8.26686 & -8.1772 \\
& -3183.07 & 0.0290287 & 1.69E+10 & 20238.5 & 60.3234 & 6.74264 & 9.67354 & 102.391 & 156.435 & -1058.05 & -2757.67 & 4.00982 & -0.78522 & -8.08889 & -8.1772 \\
& -2432.85 & 0.0301624 & 3.56E+10 & 22842.4 & 35.3722 & 6.46636 & 11.4128 & 170.701 & 148.289 & 1105.59 & -2210.27 & 4.77573 & -1.19427 & -8.509 & -21.9278 \\
& -2630.3 & 0.0278163 & 2.73E+10 & 25658.9 & 83.3985 & 6.10535 & 9.14037 & 121.269 & 154.065 & -958.512 & -2575.3 & 4.48104 & -1.21108 & -7.78537 & -11.6076 \\
& -2095.89 & 0.03025 & 9.81E+09 & 20270.9 & 40.2026 & 7.20097 & 9.0472 & 104.663 & 154.173 & -505.146 & -1771.42 & 4.11262 & -0.613923 & -8.83158 & -8.1772 \\
& -3301.53 & 0.0302264 & 1.35E+10 & 13708.2 & 62.5321 & 8.05472 & 11.0529 & 165.973 & 155.957 & -2069.58 & -2830.66 & 4.2232 & 0.124692 & -8.83616 & -19.2635 \\
& -2314.48 & 0.0296459 & 1.98E+10 & 21595.5 & 66.9216 & 5.32096 & 9.18803 & 119.401 & 156.968 & -728.852 & -3393.19 & 4.37753 & -1.01123 & -8.81274 & -11.6076 \\
& -3380.47 & 0.0302365 & 9.73E+09 & 26948.7 & 96.7156 & 7.25999 & 9.21712 & 187.299 & 153.919 & -213.715 & -2813.35 & 3.95788 & 0.110539 & -8.7079 & -8.1772 \\
& -3143.51 & 0.0199678 & 2.03E+10 & 11383 & 68.7048 & 6.28303 & 9.25189 & 188.644 & 157.746 & 110.405 & -1688.99 & 4.49839 & -1.74384 & -8.7247 & -8.1772 \\
& -2847.49 & 0.029854 & 1.84E+10 & 23915.5 & 72.8991 & 6.63326 & 9.38279 & 105.037 & 150.94 & 862.177 & -2078.53 & 4.58513 & -1.08988 & -8.61938 & -11.5852 \\
& -2926.46 & 0.03025 & 1.77E+10 & 21728.5 & 81.07 & 6.60333 & 9.31926 & 150.771 & 152.901 & -1333.47 & -2068.27 & 4.05192 & -0.656969 & -8.55918 & -21.9278 \\
& -2195.99 & 0.03025 & 2.26E+10 & 19417.8 & 76.3799 & 6.66027 & 9.09237 & 125.473 & 153.158 & -1148.96 & -2269.14 & 4.4759 & -1.44312 & -8.40539 & -8.1772 \\
& -2610.57 & 0.03025 & 1.95E+10 & 10095 & 51.5363 & 6.21274 & 9.11763 & 159.311 & 154.965 & -304.918 & -2250.28 & 4.4864 & 0.365686 & -8.75928 & -8.1772 \\
\hline \\
Avg. & -2663.042 & 0.02921857 & 1.75E+10 & 1.92E+04 & 6.43E+01 & 6.76E+00 & 9.49E+00 & 1.44E+02 & 1.53E+02 & -5.21E+02 & -2.38E+03 & 4.35E+00 & -6.16E-01 & -8.64E+00 & -1.39E+01 \\
Med. & -2610.575 & 0.03025 & 17541950000 & 20254.7 & 67.68445 & 6.6299 & 9.20455 & 138.7525 & 153.992 & -459.2615 & -2462.155 & 4.46013 & -0.586353 & -8.72553 & -11.5964 \\
Std. Dev. & 565.9521286104 & 0.0022586778 & 6227253551.6775 & 6364.105861632 & 15.8722794272 & 0.6200294914 & 0.6404997265 & 30.5973750771 & 3.8796949489 & 947.6193603132 & 502.5410994529 & 0.2088816019 & 0.7371789862 & 0.2404532 & 5.8867273045 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Local Search, 20 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -5793.64 & 0.0605 & 2.54E+10 & 84243.8 & 0.00544314 & 15.7534 & 22.794 & 388.743 & 318.54 & 872.22 & -4878.35 & 9.29745 & -0.868549 & -17.4433 & -18.4163 \\
& -6425.36 & 0.0605 & 3.40E+10 & 83330.5 & 2.59579 & 15.18 & 19.4765 & 282.217 & 326.136 & -890.302 & -5205.81 & 9.19442 & -1.71722 & -18.36 & -18.1189 \\
& -5773.94 & 0.0605 & 5.03E+10 & 81685.7 & 0.0325362 & 14.6438 & 19.2967 & 414.614 & 325.683 & -38.8792 & -4808.13 & 8.96731 & -1.28757 & -18.4541 & -18.1189 \\
& -4312.14 & 0.0605 & 4.46E+10 & 84028.2 & 0.012734 & 14.8892 & 20.1529 & 248.993 & 329.517 & -49.3419 & -5762.01 & 8.95851 & -0.769716 & -18.3303 & -11.5925 \\
& -5201.29 & 0.0528605 & 2.90E+10 & 85961.1 & 0.0175917 & 14.6958 & 20.7801 & 295.784 & 326.719 & 131.108 & -4284.49 & 9.19177 & -0.978247 & -17.4535 & -11.5925 \\
& -5437.26 & 0.0484009 & 4.27E+10 & 81010.4 & 0.0128073 & 14.7319 & 20.2851 & 308.26 & 321.815 & -3179.98 & -5910.02 & 8.83616 & -1.10339 & -18.3132 & -12.1791 \\
& -5911.51 & 0.0605 & 4.18E+10 & 82890.4 & 0.0127846 & 15.3506 & 24.845 & 297.244 & 320.763 & 124.661 & 359.29 & 9.15435 & -0.821465 & -18.5011 & -11.5925 \\
& -5852.3 & 0.0605 & 3.89E+10 & 80465.7 & 0.50121 & 13.8042 & 24.586 & 358.358 & 328.323 & -1240.58 & -5701.28 & 9.48494 & -2.10437 & -17.7341 & -11.5925 \\
& -4549.95 & 0.0554514 & 2.43E+10 & 82872.7 & 0.0150484 & 14.0756 & 21.9814 & 378.772 & 320.122 & 866.459 & -4804.78 & 9.32682 & 0.177762 & -18.4128 & -11.5924 \\
& -5615.93 & 0.0594314 & 3.87E+10 & 85395.4 & 0.0177641 & 14.9938 & 21.737 & 348.39 & 330.393 & -40.7054 & -803.14 & 9.46576 & -0.757524 & -17.8996 & -12.1455 \\
& -6128.66 & 0.0599989 & 5.86E+09 & 82482.7 & 0.022684 & 15.7937 & 23.5337 & 318.578 & 313.61 & -1594.82 & -5561.16 & 9.47295 & -0.0502173 & -18.3411 & -12.1791 \\
& -5911.12 & 0.06046 & 3.82E+10 & 79597.1 & 0.00540948 & 14.6048 & 19.8786 & 343.956 & 316.997 & -1549.64 & -4889 & 9.12806 & 0.593797 & -17.5708 & -11.5925 \\
& -5378.96 & 0.0546049 & 3.55E+10 & 79844.9 & 0.513188 & 13.4111 & 20.819 & 237.504 & 323.974 & -236.878 & -2783.49 & 9.40669 & -1.5814 & -17.8182 & -11.5925 \\
& -6208.09 & 0.0605 & 4.11E+10 & 82806.8 & 0.0423564 & 13.6263 & 19.9244 & 338.475 & 330.509 & 145.801 & -5149.57 & 8.85904 & 0.0709934 & -17.7823 & -11.5925 \\
& -6365.98 & 0.0604318 & 3.95E+10 & 82980.4 & 0.00544314 & 14.5561 & 29.7907 & 373.119 & 316.579 & -3981.64 & -589.742 & 9.45594 & -0.734831 & -17.6115 & -12.1791 \\
& -4865.5 & 0.0605 & 2.70E+10 & 81023.3 & 0.022684 & 14.1321 & 19.6227 & 264.108 & 329.156 & -895.345 & -5298.19 & 9.31191 & -0.709717 & -17.9523 & -12.1791 \\
& -5753.31 & 0.0592495 & 5.53E+10 & 83182.6 & 0.0177641 & 14.3879 & 19.4463 & 326.461 & 329.266 & -736.031 & -36.6239 & 9.20092 & -1.01499 & -18.0679 & -11.5925 \\
& -4964.05 & 0.0495827 & 3.22E+10 & 86350.6 & 7.65341 & 14.4621 & 19.5375 & 354.537 & 329.072 & -98.6246 & -4398.36 & 9.44551 & -1.39255 & -18.4823 & -11.5925 \\
& -5161.97 & 0.0605 & 3.97E+10 & 79778.4 & 0.0244744 & 14.5572 & 22.6856 & 320.654 & 312.234 & -6486.32 & -4736.91 & 9.2983 & -1.06507 & -17.1146 & -11.5925 \\
& -5635.57 & 0.0605 & 4.11E+10 & 81383.2 & 0.0054374 & 14.5234 & 22.1856 & 287.145 & 323.708 & 562.055 & -5532.35 & 9.13131 & 0.712591 & -18.4878 & -12.1791 \\
& -5477.18 & 0.0605 & 2.88E+10 & 83253.2 & 0.012837 & 14.4646 & 20.9163 & 383.667 & 322.139 & -2281.67 & -4092.8 & 9.208 & -2.1219 & -18.2742 & -11.5925 \\
& -5240.77 & 0.0605 & 5.57E+10 & 82110.1 & 13.4906 & 15.0371 & 19.3914 & 205.418 & 324.571 & -3193.3 & -6020.24 & 8.90623 & -2.27157 & -16.7489 & -11.5924 \\
& -5635.19 & 0.0605 & 2.74E+10 & 84813.3 & 0.0447807 & 15.5438 & 19.7167 & 245.99 & 327.78 & -1235.47 & -3310.1 & 9.39152 & -1.5261 & -17.3734 & -11.5925 \\
& -3246.38 & 0.0605 & 3.80E+10 & 83219.6 & 0.00544314 & 14.7169 & 23.0755 & 303.558 & 313.476 & -1673.84 & -4972.31 & 8.87996 & 0.484031 & -18.4883 & -11.5925 \\
& -6168.66 & 0.0558529 & 4.47E+10 & 84716.8 & 2.94032 & 13.5461 & 19.8038 & 247.696 & 325.746 & -550.653 & -5601.88 & 9.47937 & -0.144748 & -17.0377 & -11.5925 \\
& -4213.77 & 0.0581465 & 3.19E+10 & 80103 & 0.00538645 & 16.5718 & 25.1075 & 282.189 & 323.021 & -137.129 & -5451.53 & 9.11948 & -1.01489 & -17.6702 & -11.5729 \\
& -3384.87 & 0.0595524 & 4.13E+10 & 82072.8 & 0.00541907 & 15.7239 & 19.2661 & 329.103 & 324.07 & -1101.79 & -4311.6 & 9.49093 & -0.162895 & -18.1284 & -11.5925 \\
& -5437.75 & 0.0590881 & 2.77E+10 & 87335.7 & 0.486232 & 13.3387 & 19.7886 & 289.14 & 323.126 & -2199.9 & -5897.58 & 9.47676 & 0.0210599 & -17.9211 & -18.4163 \\
& -4154.64 & 0.0605 & 3.50E+10 & 80441.7 & 0.0226616 & 15.9632 & 19.6977 & 323.442 & 319.648 & -2319.97 & -4943.11 & 9.3123 & -1.96752 & -16.6269 & -11.5925 \\
& -4727.06 & 0.0605 & 5.57E+10 & 83475 & 0.0300529 & 15.2459 & 20.5533 & 339.345 & 325.59 & 2361.6 & -3509.27 & 9.4069 & -2.61652 & -17.0723 & -11.5925 \\
\hline \\
Avg. & -5297.76 & 0.05870373 & 3.70E+10 & 8.28E+04 & 9.53E-01 & 1.47E+01 & 2.14E+01 & 3.15E+02 & 3.23E+02 & -1.02E+03 & -4.30E+03 & 9.24E+00 & -8.91E-01 & -1.78E+01 & -1.26E+01 \\
Med. & -5457.465 & 0.0605 & 38465350000 & 82881.55 & 0.02021285 & 14.6698 & 20.4192 & 319.616 & 324.022 & -813.1665 & -4883.675 & 9.297875 & -0.923398 & -17.91035 & -11.5925 \\
Std. Dev. & 817.3212483051 & 0.0033237366 & 10498474328.5921 & 2030.9259258268 & 2.8130712982 & 0.7900945894 & 2.3862355564 & 50.2442400537 & 5.1944841414 & 1705.6218308227 & 1790.4080474217 & 0.210871267 & 0.8822055188 & 0.5520760648 & 2.2743612411 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Local Search, 30 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -8720.03 & 0.09075 & 6.14E+10 & & 468222 & 25.6736 & 29.4629 & 465.724 & 492.399 & -709.211 & -9489.6 & 14.5445 & & -23.8513 & -19.687 \\
& -6962.47 & 0.09075 & 8.45E+10 & & 544786 & 26.105 & 37.1947 & 476.184 & 495.891 & -2092.66 & -1548.36 & 14.1196 & & -27.6662 & -18.039 \\
& -6961.87 & 0.0899048 & 4.08E+10 & & 566160 & 22.9069 & 32.2468 & 572.709 & 495.119 & -724.496 & -1085.52 & 13.6181 & & -26.3649 & -9.98237 \\
& -7022.1 & 0.09075 & 4.80E+10 & & 507124 & 23.5184 & 32.8019 & 474.808 & 504.87 & 1441.2 & -298.734 & 14.6858 & & -27.5487 & -11.4003 \\
& -7554.77 & 0.09075 & 5.62E+10 & & 534480 & 21.3856 & 45.2881 & 407.728 & 499.809 & -1117.15 & -6155.89 & 14.1285 & & -28.0375 & -18.8073 \\
& -7930.32 & 0.0901661 & 3.89E+10 & & 507272 & 21.786 & 39.2269 & 585.973 & 489.683 & -559.234 & -6021.34 & 14.2482 & & -26.9184 & -17.1526 \\
& -7671.66 & 0.09075 & 6.33E+10 & & 544748 & 23.9949 & 39.7063 & 410.723 & 496.021 & -706.327 & -8420.73 & 14.4966 & & -27.7328 & -18.8073 \\
& -9153.89 & 0.0896031 & 5.37E+10 & & 527930 & 22.0799 & 31.5884 & 432.908 & 498.172 & -1000.39 & -7023.77 & 14.0189 & & -27.4268 & -19.6821 \\
& -7475.88 & 0.0825127 & 7.43E+10 & & 441660 & 24.9363 & 30.6169 & 441.306 & 495.542 & 727.837 & -2984.97 & 14.1608 & & -27.0882 & -18.1224 \\
& -7140.58 & 0.09075 & 6.14E+10 & & 461520 & 22.1797 & 32.6729 & 418.557 & 493.104 & -2038.59 & -8148.21 & 13.8726 & & -27.3871 & -17.6842 \\
& -6765.1 & 0.09075 & 5.12E+10 & & 442200 & 22.8712 & 30.8062 & 469.99 & 489.318 & -3404.86 & -1965.15 & 13.9313 & & -27.7029 & -11.4003 \\
& -7278.84 & 0.0705322 & 4.88E+10 & & 387826 & 23.6452 & 29.7264 & 530.633 & 493.766 & 659.589 & -2082.03 & 14.7356 & & -26.4235 & -18.039 \\
& -9804.77 & 0.09075 & 3.16E+10 & & 594900 & 22.2526 & 30.373 & 506.952 & 499.083 & -6243.21 & -7264.67 & 14.0242 & & -25.9648 & -11.4003 \\
& -7258.63 & 0.0815248 & 5.80E+10 & & 506574 & 22.0017 & 38.3344 & 481.961 & 499.895 & -182.164 & -7375.24 & 14.1801 & & -26.8838 & -17.1526 \\
& -7752.47 & 0.09075 & 6.81E+10 & & 594960 & 23.3336 & 32.0357 & 448.093 & 497.64 & 121.125 & -6137.77 & 13.9758 & & -25.8605 & -19.5175 \\
& -6427.54 & 0.0901747 & 6.75E+10 & & 499020 & 24.788 & 39.219 & 550.8 & 497.778 & 197.675 & -6537.16 & 14.0494 & & -26.9742 & -18.3945 \\
& -8048.75 & 0.09075 & 7.70E+10 & & 345160 & 22.4005 & 31.9327 & 351.905 & 500.411 & -5356.76 & -5318.86 & 14.3997 & & -25.4607 & -18.3945 \\
& -6922.6 & 0.0897579 & 7.72E+10 & & 424932 & 21.4528 & 33.8182 & 440.397 & 494.772 & -670.487 & 239.404 & 13.8857 & & -25.2136 & -18.039 \\
& -7534.96 & 0.09075 & 5.81E+10 & & 510105 & 24.7605 & 34.6564 & 481.573 & 493.94 & -2080.9 & -6633.34 & 14.5802 & & -27.3547 & -11.4003 \\
& -6626.39 & 0.0840877 & 6.24E+10 & & 356637 & 26.2454 & 36.2963 & 508.941 & 499.447 & -1921.38 & -7225.03 & 14.007 & & -28.186 & -19.6828 \\
& -8739.22 & 0.0833573 & 6.99E+10 & & 546298 & 21.9408 & 33.581 & 543.216 & 491.856 & -1567.4 & -6976.34 & 13.9828 & & -28.2896 & -11.3613 \\
& -8818.69 & 0.0885963 & 3.97E+10 & & 438240 & 21.1752 & 36.2528 & 460.593 & 499.554 & 72.1365 & -6627.36 & 14.0521 & & -27.4075 & -11.4003 \\
& -7258.09 & 0.0861417 & 3.49E+10 & & 544831 & 25.094 & 30.5593 & 548.84 & 499.339 & -5073.7 & -8456.63 & 14.2453 & & -25.5684 & -19.8561 \\
& -8087.75 & 0.0903371 & 5.46E+10 & & 446157 & 22.9032 & 32.1424 & 421.646 & 492.63 & -3900.26 & 1353.84 & 13.7392 & & -26.6823 & -19.2993 \\
& -8482.43 & 0.090039 & 4.66E+10 & & 552581 & 22.3861 & 36.5625 & 457.61 & 499.245 & 1.35286 & -7844.48 & 13.7055 & & -28.0855 & -19.687 \\
& -6528.81 & 0.09075 & 6.70E+10 & & 498480 & 19.5627 & 34.625 & 464.465 & 492.466 & -6965.86 & -9712.34 & 14.1021 & & -26.9693 & -18.8073 \\
& -8463.27 & 0.09075 & 6.34E+10 & & 479280 & 24.0583 & 34.4645 & 608.036 & 473.426 & -7745.87 & -7636.44 & 14.4946 & & -26.258 & -12.3742 \\
& -8956.81 & 0.0893575 & 4.27E+10 & & 431907 & 23.3802 & 37.1508 & 605.869 & 486.893 & -6378.37 & -7262.28 & 13.9651 & & -27.4611 & -12.3742 \\
& -8443.14 & 0.09075 & 4.63E+10 & & 660240 & 23.5017 & 36.0516 & 503.756 & 478.32 & -1278.35 & -4455.43 & 13.9693 & & -27.2419 & -17.1526 \\
& -6843.66 & 0.0894151 & 7.43E+10 & & 481320 & 23.2531 & 29.9386 & 478.08 & 499.71 & -4075.12 & -5839.02 & 14.2467 & & -27.0834 & -9.98237 \\
\hline \\
Avg. & -7721.183 & 0.0885336 & 5.74E+10 & 4.95E+05 & 2.32E+01 & 3.43E+01 & 4.85E+02 & 4.95E+02 & -2.09E+03 & -5.50E+03 & -5.50E+03 & 1.41E+01 & -2.69E+01 & -2.69E+01 & -1.62E+01 \\
Med. & -7544.865 & 0.0902559 & 58031700000 & 502797 & 23.08 & 33.6996 & 475.496 & 495.7165 & -1197.75 & -6582.26 & -6582.26 & 14.0771 & -27.0858 & -27.0858 & -18.039 \\
Std. Dev. & 879.654776568 & 0.004344398 & 13715570303.9744 & 70598.3086040107 & 1.561052308 & 3.7073113996 & 61.9062241299 & 6.4821907987 & 2517.8253815732 & 3015.9014409368 & 3015.9014409368 & 0.2842525403 & 1.0005521456 & 1.0005521456 & 3.6031873219 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Iterative Local Search, 10 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -2353.48 & 0.03025 & 1.88E+10 & 24168.4 & 59.988 & 6.39537 & 9.35607 & 117.932 & 155.879 & -145.889 & -1646.86 & 4.03982 & -0.302471 & -8.64558 & -11.5852 \\
& -2294.56 & 0.0278096 & 2.01E+10 & 23308.8 & 54.3803 & 7.99499 & 9.10285 & 166.587 & 155.557 & -479.37 & -2949.33 & 4.21134 & -0.408084 & -8.79464 & -8.1772 \\
& -2847.49 & 0.0296792 & 1.70E+10 & 32302.9 & 46.5895 & 7.22062 & 9.07374 & 161.811 & 148.705 & -56.1015 & -2988.2 & 3.99908 & -0.616554 & -8.82742 & -8.1772 \\
& -1682.61 & 0.0286486 & 1.90E+10 & 26081.4 & 61.7176 & 6.47021 & 10.7403 & 138.539 & 151.489 & -235.288 & -2321.48 & 4.49389 & -1.30566 & -8.4728 & -8.1772 \\
& -3163.22 & 0.03025 & 1.44E+10 & 15665.2 & 46.493 & 7.87339 & 11.6635 & 143.48 & 152.545 & -1197.31 & -3124.24 & 4.06124 & -1.18534 & -8.60302 & -8.1772 \\
& -1564.28 & 0.0292164 & 3.22E+10 & 9609.37 & 63.0245 & 6.84956 & 9.12636 & 77.5438 & 158.222 & -1306.25 & -2504.62 & 4.49975 & -0.577118 & -8.69359 & -8.1772 \\
& -3005.3 & 0.03025 & 2.60E+10 & 29121.3 & 42.5946 & 7.03493 & 11.0323 & 121.662 & 156.691 & -457.272 & -2495.34 & 4.48833 & -0.676501 & -8.81122 & -8.1772 \\
& -2196.03 & 0.03025 & 9.37E+09 & 24244.2 & 67.6498 & 6.47648 & 9.77288 & 118.753 & 156.684 & -78.0806 & -1123.95 & 4.65848 & -1.34652 & -8.80146 & -8.1772 \\
& -2451.6 & 0.0301868 & 1.89E+10 & 31828.8 & 54.9617 & 7.78021 & 9.1522 & 198.115 & 153.576 & -44.7555 & -1719.94 & 4.49672 & 0.0368576 & -8.82573 & -8.1772 \\
& -2649.5 & 0.03025 & 2.35E+10 & 24122.5 & 78.0887 & 7.02654 & 9.08477 & 145.058 & 146.57 & -359.588 & -2690.69 & 4.44189 & -0.600237 & -8.85059 & -8.1772 \\
& -1978.6 & 0.0302292 & 1.92E+10 & 26676.1 & 67.6724 & 6.72453 & 9.32724 & 184.502 & 154.944 & -978.036 & -2567.04 & 4.49746 & 0.352732 & -8.72541 & -8.1772 \\
& -2590.35 & 0.03025 & 1.86E+10 & 22140.2 & 67.8106 & 7.22723 & 9.27195 & 184.804 & 149.624 & 228.958 & -2156.38 & 4.63231 & 0.000805103 & -8.82982 & -19.2635 \\
& -2492.14 & 0.0302253 & 1.45E+10 & 23038.2 & 54.4243 & 6.35673 & 9.37548 & 64.1279 & 158.208 & -1552.16 & -2516.99 & 4.1252 & -0.977698 & -8.62522 & -8.1772 \\
& -3024.64 & 0.0302113 & 2.35E+10 & 21144 & 68.705 & 7.64069 & 15.3717 & 175.471 & 156.45 & -188.369 & -2261.48 & 4.50388 & -0.189495 & -8.82071 & -19.27 \\
& -2787.77 & 0.0299542 & 3.51E+10 & 30959.5 & 87.3445 & 7.258 & 9.17457 & 174.921 & 154.939 & -549.431 & -2337.16 & 4.51863 & -0.100004 & -8.71327 & -11.6076 \\
& -2412.16 & 0.03025 & 2.46E+10 & 10038.6 & 49.23 & 7.00135 & 9.18972 & 203.733 & 153.641 & -279.738 & -813.436 & 4.13809 & 0.0861884 & -8.70443 & -22.0364 \\
& -2156.47 & 0.03025 & 3.45E+09 & 7563.02 & 90.5625 & 6.32097 & 9.77328 & 161.579 & 153.295 & -83.3801 & -1182.55 & 4.45449 & -0.394575 & -8.82684 & -19.2635 \\
& -3044.69 & 0.03025 & 1.32E+10 & 18228.9 & 53.0633 & 6.98713 & 9.22125 & 139.567 & 151.861 & -101.129 & -2341.09 & 4.27863 & -0.295665 & -8.4791 & -20.3627 \\
& -2294.74 & 0.0128203 & 6.91E+09 & 13513 & 64.0312 & 8.51433 & 9.30183 & 142.512 & 156.996 & -1863.03 & -1398.12 & 4.49987 & -0.496323 & -8.84694 & -8.1772 \\
& -2946.18 & 0.0182463 & 4.41E+09 & 10620.3 & 76.5551 & 7.01442 & 9.13523 & 175.317 & 152.924 & 63.6296 & -2397.78 & 4.50181 & 0.0984758 & -8.7853 & -21.9278 \\
& -2412.71 & 0.03025 & 6.12E+09 & 21231.5 & 47.6436 & 6.37215 & 9.12583 & 152.503 & 151.491 & 662.344 & -2139.36 & 4.50024 & -0.769488 & -8.30502 & -8.1772 \\
& -2669.73 & 0.03025 & 2.28E+10 & 18635 & 46.5956 & 6.62651 & 9.1969 & 179.575 & 155.756 & -1622.23 & -2579.85 & 4.49683 & -0.639761 & -8.72133 & -19.1981 \\
& -2235.49 & 0.03025 & 1.40E+10 & 28141.5 & 72.5154 & 6.69095 & 9.79442 & 127.291 & 145.443 & -2020.13 & -1634.23 & 4.42869 & -1.00679 & -8.78072 & -19.2635 \\
& -2985.69 & 0.0300519 & 9.28E+09 & 37770.1 & 96.61 & 7.83742 & 14.026 & 184.708 & 146.4 & -590.179 & -2498.13 & 4.26544 & -0.0294331 & -8.87411 & -8.1772 \\
& -2353.88 & 0.03025 & 1.14E+10 & 38853.2 & 55.7939 & 7.34237 & 9.23642 & 155.955 & 156.938 & -298.932 & -2034.12 & 4.68428 & 0.020851 & -8.83159 & -21.9278 \\
& -1899.75 & 0.03025 & 3.03E+10 & 19359.5 & 64.5918 & 7.09233 & 10.284 & 99.3849 & 153.521 & -801.555 & -2416.07 & 4.08334 & -0.124733 & -8.71859 & -19.27 \\
& -1623.43 & 0.03025 & 1.17E+10 & 18194 & 72.4011 & 6.26496 & 9.88647 & 133.847 & 156.223 & -1354.62 & -2445.64 & 4.09028 & -1.742 & -8.69851 & -20.3627 \\
& -3222.55 & 0.03025 & 1.86E+10 & 33430.4 & 75.1929 & 6.67338 & 9.50346 & 219.224 & 156.195 & -894.692 & -1572.32 & 4.40705 & -0.587073 & -8.64298 & -8.1772 \\
& -3498.88 & 0.0256026 & 1.53E+10 & 23899.7 & 72.4134 & 6.26663 & 9.14707 & 169.249 & 154.033 & -1419.25 & -2628.3 & 4.49581 & -0.0643777 & -8.10856 & -8.1772 \\
& -3044.4 & 0.0301924 & 3.41E+10 & 11088.4 & 51.1488 & 6.8859 & 9.41934 & 103.838 & 155.568 & -2127.94 & -2428.83 & 4.49982 & -1.26039 & -8.74994 & -8.1772 \\
\hline \\
Avg. & -2529.4106666667 & 0.02890247 & 1.79E+10 & 2.25E+04 & 6.37E+01 & 7.01E+00 & 9.90E+00 & 1.51E+02 & 1.54E+02 & -6.71E+02 & -2.20E+03 & 4.38E+00 & -5.03E-01 & -8.70E+00 & -1.28E+01 \\
Med. & -2471.87 & 0.03025 & 18559750000 & 23173.5 & 63.52785 & 6.99424 & 9.314535 & 154.229 & 154.486 & -468.321 & -2369.435 & 4.49111 & -0.4522035 & -8.737675 & -8.1772 \\
Std. Dev. & 495.6619476322 & 0.0038284652 & 8448356883.66839 & 8305.8388465674 & 13.8542434661 & 0.5807405608 & 1.4575514207 & 36.4813660807 & 3.4660196682 & 719.7744604556 & 569.5535684889 & 0.1984223336 & 0.5169316097 & 0.17100592 & 5.8206220674 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Iterative Local Search, 20 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -4549.4 & 0.0605 & 2.51E+10 & 83731.6 & 0.651206 & 14.7944 & 21.9681 & 279.695 & 321.001 & -1566.84 & -5338.46 & 9.21621 & -0.142619 & -17.715 & -11.8869 \\
& -6050.16 & 0.0605 & 4.55E+10 & 80745.8 & 0.268086 & 16.284 & 19.3337 & 343.725 & 313.969 & -1993.75 & -4148.75 & 9.46446 & -0.548652 & -18.1772 & -11.5925 \\
& -5398.23 & 0.0591995 & 5.06E+10 & 82401.3 & 0.032413 & 15.3526 & 23.9768 & 296.889 & 321.956 & -4633.19 & -4848.21 & 9.01646 & 0.218791 & -18.4282 & -11.5925 \\
& -5675.22 & 0.0605 & 4.42E+10 & 82591.3 & 0.00544314 & 14.7622 & 22.6234 & 331.276 & 323.228 & -4014.04 & -5436.05 & 9.26537 & 0.626347 & -18.2969 & -12.1455 \\
& -3976.37 & 0.0588747 & 3.25E+10 & 82036.8 & 0.0128344 & 13.9223 & 25.6647 & 325.015 & 329.982 & -1246.54 & -4823.87 & 9.12409 & -1.33997 & -17.3054 & -11.5925 \\
& -5082.38 & 0.0605 & 2.61E+10 & 87382.5 & 0.0201434 & 14.3422 & 21.3897 & 396.392 & 326.205 & -392.775 & -6280.62 & 9.13477 & -2.26781 & -18.1703 & -11.5925 \\
& -5891.86 & 0.0605 & 3.85E+10 & 89279.1 & 0.684922 & 15.2594 & 23.0754 & 329.302 & 326.381 & -337.14 & -3871.16 & 9.02972 & -0.0242582 & -18.4513 & -11.5925 \\
& -5003.93 & 0.0605 & 3.00E+10 & 85879 & 0.0151074 & 14.8268 & 19.9157 & 325.527 & 314.19 & -1212.15 & -4189.52 & 9.17302 & 0.0681864 & -18.2963 & -11.5925 \\
& -5418.57 & 0.0605 & 4.30E+10 & 82890.7 & 0.00544314 & 15.9129 & 20.2634 & 332.571 & 325.788 & -1548.21 & -5548.41 & 9.39065 & -0.906265 & -18.5396 & -11.5925 \\
& -5516.7 & 0.0599162 & 3.51E+10 & 82665.9 & 0.03008 & 16.1692 & 19.9074 & 388.651 & 327.169 & 923.714 & -563.104 & 9.20288 & -1.59829 & -18.1054 & -11.5925 \\
& -3937.92 & 0.0547374 & 3.35E+10 & 86354.3 & 0.0153078 & 15.3926 & 19.532 & 312.15 & 322.111 & -1598.94 & -4648.01 & 8.87789 & -1.49817 & -17.8506 & -11.5925 \\
& -4588.88 & 0.0605 & 3.51E+10 & 81101.4 & 0.00542657 & 15.7841 & 21.7808 & 357.263 & 330.684 & -1319.67 & -4261.9 & 9.33048 & -1.93719 & -18.2627 & -12.1791 \\
& -5082.97 & 0.0559769 & 2.42E+10 & 76218.4 & 0.00544314 & 15.1429 & 22.4065 & 346.209 & 324.783 & 1500.62 & -6032.9 & 9.18852 & -1.88437 & -18.2285 & -11.5925 \\
& -6070.01 & 0.0594556 & 3.21E+10 & 83486.2 & 0.0201913 & 14.966 & 19.342 & 393.145 & 324.682 & -404.273 & -5094.61 & 8.57302 & 0.126058 & -16.446 & -11.5925 \\
& -5043.31 & 0.0605 & 1.85E+10 & 82935.5 & 0.220955 & 14.0295 & 20.2134 & 316.233 & 325.996 & 2079.2 & -4572.43 & 9.70061 & -1.33897 & -18.2227 & -11.5925 \\
& -5161.34 & 0.0605 & 3.87E+10 & 85337.7 & 0.00541984 & 14.9478 & 19.5923 & 274.232 & 327.758 & -1727.17 & -4684.33 & 9.01989 & 0.290542 & -18.4796 & -12.1791 \\
& -4589.3 & 0.060484 & 3.08E+10 & 83765.5 & 0.01776 & 14.714 & 20.0449 & 314.196 & 325.896 & -1632.08 & -5179.06 & 8.52944 & -0.524841 & -18.3505 & -18.4163 \\
& -4332.6 & 0.0600202 & 6.77E+10 & 81498.7 & 0.0153003 & 16.5447 & 20.0096 & 314.165 & 307.423 & 1567.7 & -4461.73 & 9.43874 & -1.20997 & -18.3268 & -11.5925 \\
& -6267.41 & 0.0605 & 4.65E+10 & 81603.3 & 1.88596 & 16.1234 & 20.2482 & 316.52 & 317.494 & -5550.9 & -3693.39 & 9.4962 & 0.510028 & -18.1621 & -11.5925 \\
& -4588.98 & 0.0605 & 4.06E+10 & 85076.2 & 0.0225431 & 14.0527 & 20.8396 & 325.67 & 324.854 & -2326.43 & -5346.36 & 9.33666 & -1.32004 & -18.555 & -11.5925 \\
& -5477.69 & 0.0604347 & 5.13E+10 & 80799.5 & 0.00535823 & 14.7108 & 20.8015 & 261.241 & 319.17 & 485.619 & -4782.73 & 9.17792 & -1.22079 & -17.7232 & -18.1189 \\
& -6109.42 & 0.0472961 & 2.54E+10 & 83373.9 & 0.177322 & 15.6127 & 22.9987 & 286.368 & 321.812 & -2998.41 & -4456.01 & 8.6997 & -2.29998 & -18.4625 & -11.5925 \\
& -4885.09 & 0.0570039 & 4.39E+10 & 80163.4 & 0.255374 & 15.6927 & 23.8355 & 324.354 & 325.002 & -1578.78 & -4075.51 & 9.10547 & -0.131814 & -17.7901 & -11.5925 \\
& -4035.51 & 0.0600693 & 4.32E+10 & 81415.3 & 0.0152417 & 14.9575 & 19.5572 & 296.019 & 321.434 & 824.034 & -4011.91 & 9.31902 & -1.51993 & -17.8755 & -11.5924 \\
& -3917.22 & 0.0586818 & 4.16E+10 & 87878.4 & 0.0128369 & 14.4221 & 19.8007 & 375.301 & 300.768 & 1043.95 & -5037.25 & 9.57629 & -1.73324 & -18.2571 & -11.5925 \\
& -5754.04 & 0.0575467 & 2.76E+10 & 83622.3 & 0.272711 & 17.8043 & 20.3977 & 370.717 & 317.424 & -1133.68 & -4973.3 & 9.0252 & -1.10353 & -18.3087 & -11.5925 \\
& -4786.87 & 0.0605 & 5.54E+10 & 81190 & 0.0324796 & 14.4401 & 19.8204 & 358.965 & 296.103 & 692.475 & -4121.91 & 8.76355 & -0.860885 & -18.484 & -18.4163 \\
& -4510.47 & 0.0597792 & 3.24E+10 & 83530.5 & 4.0042 & 16.0272 & 20.4454 & 225.399 & 326.39 & -478.625 & -5370.33 & 9.32801 & -1.13941 & -18.4418 & -11.5729 \\
& -5398.26 & 0.0605 & 2.12E+10 & 85510.6 & 0.43707 & 14.8375 & 19.3774 & 332.986 & 327.903 & -985.672 & -316.499 & 8.94067 & 0.336942 & -17.9256 & -11.5925 \\
& -4253.69 & 0.0600716 & 3.11E+10 & 84551 & 0.0128391 & 15.5474 & 21.1043 & 361.928 & 322.473 & -2662.15 & -5159.38 & 7.88002 & -0.784451 & -18.5094 & -11.5924 \\
\hline \\
Avg. & -5045.1266666667 & 0.05921826 & 3.70E+10 & 8.33E+04 & 3.06E-01 & 1.52E+01 & 2.10E+01 & 3.27E+02 & 3.21E+02 & -1.07E+03 & -4.51E+03 & 9.11E+00 & -8.39E-01 & -1.81E+01 & -1.23E+01 \\
Med. & -5062.845 & 0.06045935 & 35130150000 & 83154.7 & 0.02016735 & 15.05445 & 20.33055 & 325.5985 & 323.955 & -1229.345 & -4733.53 & 9.17547 & -1.0048975 & -18.2599 & -11.5925 \\
Std. Dev. & 698.8094252189 & 0.0026900942 & 10975111347.1528 & 2619.8872400694 & 0.791604351 & 0.8539153929 & 1.6317417953 & 39.4394076324 & 8.0216805796 & 1808.4389363295 & 1268.809305736 & 0.3628603461 & 0.8562948838 & 0.4364346365 & 2.0376857083 \\
\hline \\
\end{tabular}
}
}
\hskip+2.5cm\scalebox{0.5}{
\rotatebox{90}{
\begin{tabular}{l || l | l | l | l | l | l | l | l | l | l | l | l | l | l | l}
\textbf{Iterative Local Search, 30 dimensions} \\
\hline \\
Function & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline \\
& -9410.25 & 0.0833082 & 2.47E+10 & 320497 & & 21.2591 & 29.99 & 368.495 & 473.165 & -6278.62 & -8324.6 & 13.026 & & -28.105 & -19.687 \\
& -8976.5 & 0.0769728 & 2.89E+10 & 255960 & & 21.382 & 29.5846 & 390.77 & 473.46 & -6837.82 & -9171.82 & 13.5603 & & -28.2307 & -19.8561 \\
& -9489.96 & 0.0869344 & 3.07E+10 & 349495 & & 20.4102 & 29.7188 & 389.025 & 476.709 & -6935.81 & -9139.13 & 13.5408 & & -28.2876 & -19.687 \\
& -9074.77 & 0.0754036 & 2.83E+10 & 337920 & & 21.3585 & 29.459 & 330.204 & 459.783 & -7391.32 & -8408.34 & 12.9661 & & -28.411 & -19.687 \\
& -9568.94 & 0.0569313 & 3.10E+10 & 338600 & & 21.4582 & 29.6347 & 379.984 & 477.567 & -6970.99 & -9684.67 & 13.1975 & & -28.3428 & -19.8561 \\
& -9351.64 & -0.0490078 & 2.68E+10 & 345600 & & 20.7617 & 29.9363 & 7.87853 & 475.43 & -6241.29 & -9773.48 & 13.359 & & -28.1681 & -19.8561 \\
& -124.883 & 0.0683202 & 3.31E+10 & 277860 & & 20.4901 & 29.4315 & 374.832 & 472.378 & -7256.36 & -9653.19 & 13.1889 & & -28.1063 & -19.687 \\
& -9924.25 & 0.0791061 & 3.19E+10 & 372780 & & 20.9216 & 29.7907 & 373.748 & 455.648 & -6665.63 & 283.59 & 12.8196 & & -28.1588 & -19.8561 \\
& -9311.68 & 0.0746452 & 3.24E+10 & 334380 & & 21.3375 & 29.6274 & 372.786 & 472.562 & -6572.91 & -8859.86 & 13.3459 & & -28.316 & -19.8561 \\
& -9035.97 & 0.0662556 & 3.18E+10 & 349440 & & 20.4238 & 30.1293 & 352.798 & 478.836 & -7007.39 & -9049.74 & 13.4248 & & -28.2245 & -19.8561 \\
& -9864.99 & -0.0636759 & 3.03E+10 & 312060 & & 21.0197 & 29.4352 & 376.266 & 466.391 & -8396.7 & -9143.81 & 13.5041 & & -28.2922 & -19.8561 \\
& -8996.29 & 0.0789434 & 2.87E+10 & -1.66599 & & 20.6647 & 29.6205 & 358.251 & 479.544 & -8751 & -10268.6 & 13.2663 & & -28.1594 & -19.8561 \\
& -9391.2 & 0.0749528 & 2.68E+10 & 338160 & & 20.4382 & 29.777 & 345.008 & 458.006 & -5866.24 & -8878.84 & 13.203 & & -28.3379 & -19.8561 \\
& -9450.26 & 0.0845282 & 2.94E+10 & 368202 & & 20.5752 & 29.6886 & 368.195 & 474.65 & -8633.36 & 464.389 & 13.6934 & & -3.43673 & -19.8561 \\
& -9746.52 & 0.0751487 & 2.75E+10 & 357000 & & 21.1032 & 29.7037 & 351.542 & 467.12 & -7698.6 & -8541.65 & 13.0522 & & -28.3234 & -19.8561 \\
& -9865.04 & 0.0805431 & -1.00E+01 & 330432 & & 20.6857 & 29.5885 & -7.69393 & 473.355 & -6756.61 & -9540.85 & 13.5152 & & -28.2612 & -19.687 \\
& -9272.8 & 0.0795918 & 3.80E+10 & 286598 & & 20.6426 & 19.8658 & 371.765 & 486.552 & -6547.46 & -9854.97 & 13.5049 & & -28.1688 & -19.8561 \\
& -10062.5 & 0.0768222 & 3.74E+10 & 350160 & & 20.0135 & 29.7339 & 390.477 & 475.739 & -6719.72 & -9440.52 & 13.4156 & & -28.2127 & -19.8561 \\
& -9134.53 & 0.0711327 & 3.08E+10 & 360420 & & 20.3865 & 29.9421 & 378.888 & 462.393 & -8281.31 & -9663.62 & 12.4277 & & -28.2074 & -19.8561 \\
& -9390.69 & -0.0309291 & 3.97E+10 & 295997 & & 20.7647 & 30.6015 & 359.88 & 484.513 & -5065.59 & -9134.86 & 13.6274 & & -28.3904 & -19.8561 \\
& -9134.47 & 0.0804281 & 4.70E+10 & 334360 & & 20.6145 & 27.8698 & 381.484 & 474.708 & -4226.77 & -8811.44 & 13.4809 & & -28.0928 & -19.8561 \\
& -9568.88 & 0.0785976 & 3.02E+10 & 296580 & & 20.5503 & 29.785 & 398.854 & 455.846 & -7596.93 & -8997.45 & 13.5753 & & -28.1787 & -19.8561 \\
& -9272.85 & 0.0817261 & 2.52E+10 & 306300 & & 20.8571 & 29.6731 & 380.627 & 470.576 & -6667.08 & -9397.49 & 13.1267 & & -28.1215 & -19.6839 \\
& -9212.05 & 0.0702678 & 2.59E+10 & 335460 & & 20.1083 & 30.1306 & 381.129 & 463.962 & -8674.4 & -9315.6 & 12.7335 & & -28.2767 & -19.8561 \\
& -9726.64 & 0.0741334 & 3.79E+10 & 363524 & & 21.4061 & 29.8537 & 332.172 & 458.809 & -6933.42 & -9365.76 & 13.402 & & -28.2994 & -19.8561 \\
& -10457.2 & 0.081483 & 3.46E+10 & 313260 & & 21.4092 & 29.7197 & 333.342 & 476.861 & -8640.37 & -9338.14 & 13.5832 & & -28.3677 & -19.8561 \\
& -9173.48 & 0.0870585 & 3.42E+10 & 312000 & & 20.6161 & 29.6849 & 336 & 471.518 & -6486.48 & -9721.42 & 13.651 & & -28.1929 & -19.8561 \\
& -9133.36 & 0.0840459 & 3.16E+10 & 381645 & & 20.5456 & 30.4368 & 362.339 & 459.739 & -6593.12 & -9396.22 & 13.5676 & & -28.2393 & -19.8561 \\
& -9391.21 & 0.0797617 & 4.23E+10 & 346620 & & 20.5208 & 29.7877 & 368.834 & 477.598 & -6145.95 & -9651.49 & 13.1248 & & -28.3445 & -19.8561 \\
& -9568.74 & 0.074442 & 2.17E+10 & 311040 & & 18.9379 & 29.5349 & 355.219 & 475.06 & -8780 & -9200.77 & 13.5091 & & -28.3269 & -19.8561 \\
\hline \\
Avg. & -9136.0847666667 & 0.06459572 & 3.06E+10 & 3.19E+05 & 2.07E+01 & 2.94E+01 & 3.42E+02 & 4.71E+02 & 4.71E+02 & -7.05E+03 & -8.63E+03 & 1.33E+01 & -2.74E+01 & -2.74E+01 & -1.98E+01 \\
Med. & -9390.945 & 0.0768975 & 30729500000 & 334920 & 20.65365 & 29.71125 & 368.6645 & 473.26 & 473.26 & -6885.62 & -9258.185 & 13.4088 & -28.235 & -28.235 & -19.8561 \\
Std. Dev. & 1736.4971456685 & 0.0388817803 & 7961125157.97467 & 67087.9428677671 & 0.5231419506 & 1.8518270929 & 94.7625256457 & 8.3344717638 & 8.3344717638 & 1094.2052693977 & 2486.4963265932 & 0.3016843863 & 4.5304816776 & 4.5304816776 & 0.0690085236 \\
\hline \\
\end{tabular}
}
}
\small{Random Search Running Times in Seconds}
\hskip+2.5cm\scalebox{0.5}{
\begin{tabular}{l || l | l | l}
\textbf{Dimensions} & 10 & 20 & 30 \\
\hline \\
Function 1 & 0.0028796196 & 0.0027256012 & 0.004216671 \\
Function 2 & 0.0037307739 & 0.0027096272 & 0.0042328835 \\
Function 3 & 0.0027823448 & 0.0035073757 & 0.003777504 \\
Function 4 & 0.0041363239 & 0.0041460991 & 0.0026381016 \\
Function 5 & 0.0037288666 & 0.003030777 & 0.0026414394 \\
Function 6 & 0.0037727356 & 0.0028493404 & 0.0026321411 \\
Function 7 & 0.0035896301 & 0.0027751923 & 0.0037312508 \\
Function 8 & 0.0035607815 & 0.0028815269 & 0.0037713051 \\
Function 9 & 0.0044622421 & 0.0026602745 & 0.0027508736 \\
Function 10 & 0.0040593147 & 0.0027322769 & 0.0027010441 \\
Function 11 & 0.0030579567 & 0.0026328564 & 0.0026137829 \\
Function 12 & 0.0029666424 & 0.0026972294 & 0.0026974678 \\
Function 13 & 0.0027945042 & 0.003254652 & 0.0025961399 \\
Function 14 & 0.0028162003 & 0.004308939 & 0.0026042461 \\
Function 15 & 0.0027165413 & 0.0028510094 & 0.0024940968 \\
\hline
\end{tabular}
}\\[0.5cm]
\small{Local Search Running Times in Seconds}
\hskip+2.5cm\scalebox{0.5}{
\begin{tabular}{l || l | l | l}
\textbf{Dimensions} & 10 & 20 & 30 \\
\hline \\
Function 1 & 0.2714903355 & 0.3662781715 & 0.8037896156 \\
Function 2 & 0.0122189522 & 0.1061990261 & 0.0311796665 \\
Function 3 & 0.0036041737 & 0.0034754276 & 0.0039658546 \\
Function 4 & 0.0045986176 & 0.0037958622 & 0.0057651997 \\
Function 5 & 3.5046873093 & 107.3777658939 & 237.3515529633 \\
Function 6 & 0.0053646564 & 0.0071499348 & 0.0078163147 \\
Function 7 & 0.1593027115 & 0.1934890747 & 36.0658888817 \\
Function 8 & 0.0124971867 & 0.1606588364 & 0.0684037209 \\
Function 9 & 0.0049269199 & 0.0049231052 & 0.0069723129 \\
Function 10 & 0.0056340694 & 0.0120668411 & 0.0046567917 \\
Function 11 & 0.0049116611 & 0.1781361103 & 3.4641461372 \\
Function 12 & 0.0035014153 & 0.0031409264 & 0.0071520805 \\
Function 13 & 0.0022878647 & 0.0031747818 & 0.008487463 \\
Function 14 & 0.0166265965 & 0.1419093609 & 0.2867805958 \\
Function 15 & 0.0709223747 & 0.0597565174 & 0.1033499241 \\
\hline \\
\end{tabular}
} \\[0.5cm]
\small{Iterative Local Search Running Times in Seconds}
\hskip+2.5cm\scalebox{0.5}{
\begin{tabular}{l || l | l | l}
\textbf{Dimensions} & 10 & 20 & 30 \\
\hline \\
Function 1 & 5.355587244 & 21.5247523785 & 47.5882720947 \\
Function 2 & 0.4999251366 & 1.151144743 & 2.4649145603 \\
Function 3 & 0.0042607784 & 0.0112228394 & 0.0144929886 \\
Function 4 & 0.0058951378 & 0.0114533901 & 0.0161828995 \\
Function 5 & 150.1059572697 & 2928.3961615563 & N/A \\
Function 6 & 0.0101454258 & 0.0255510807 & 0.0222308636 \\
Function 7 & 32.4964332581 & 41.5021996498 & 168.8056237698 \\
Function 8 & 0.3526818752 & 1.6770370007 & 3.8826031685 \\
Function 9 & 0.0110986233 & 0.0125215054 & 0.0229070187 \\
Function 10 & 0.0899729729 & 0.2644715309 & 0.7342042923 \\
Function 11 & 30.093629837 & 165.0208876133 & 384.6772966385 \\
Function 12 & 297.458874464 & 25.3617525101 & 21.2174470425 \\
Function 13 & 0.0197796822 & 0.0436241627 & 0.0463643074 \\
Function 14 & 1.5726833344 & 7.7616007328 & 9.7854065895 \\
Function 15 & 6.6486163139 & 23.9164574146 & 32.7224471569 \\
\hline \\
\end{tabular}
} \\[0.5cm]
\section{Previous Results}
\hskip+1.0cm\scalebox{0.7}{
\begin{tabular}{| l | l | l | l | l | l|}
\hline
Function & Dimensionality & Mean & Median & Deviation & Avg. Time \\ \hline
Schwefel's & 10 & 40.03647 & 0.0623 & 547.27404 & 3.1285 \\ \hline
& 20 & -273.92765 & 16.52 & 883.3137 & 2.942 \\ \hline
& 30 & -63.79153 & 255.3487 & 925.71758 & 3.132 \\ \hline
De Jong's & 10 & 3775.96667 & 3772 & 3116.12957 & 0.667 \\ \hline
& 20 & 3748.5 & 4105 & 2885.095608 & 0.132 \\ \hline
& 30 & 3429.8334 & 3429 & 2608.0073 & 0.0933 \\ \hline
Rosenbrock & 10 & 2093118197.7 & 951513386 & 2466626292.4 & 0.90 \\ \hline
& 20 & 2109933654.57 & 997811808.5 &2696811330.46 & 1.679 \\ \hline
& 30 & 1784558137.97 & 543961363 & 2372214627.61 & 2.98 \\ \hline
Rastrigin & 10 & 318.2 & 262.5 & 289.575003684 & 1.04 \\ \hline
& 20 & 202.2666667 & 111 & 232.951516834 & 1.98 \\ \hline
& 30 & 309.9 & 246 & 264.111829763 & 2.788 \\ \hline
Griegwangk & 10 & 27.326983 & 22.8316 & 19.94304775 & 1.32 \\ \hline
& 20 & 22.247975 & 18.4916 & 17.41881647 & 4.98 \\ \hline
& 30 & 25.04950833 & 24.1043 & 19.11108789 & 5.67 \\ \hline
Sine Envelope Sine Wave & 10 & -4.70534 &-4.6083 & 0.2380683 & 1.112 \\ \hline
& 20 & -9.805175 & -9.6732 & 0.3503130 & 2.223 \\ \hline
& 30 & -15.1282 & -15.0166 & 0.410964 & 4.121 \\ \hline
Stretched V Sine Wave & 10 & -5.85114 & -5.8511 & 4.5168102e-15 & 3.55 \\ \hline
& 20 & -12.3524 & -12.35 & 5.420172e-15 & 6.88 \\ \hline
& 30 & -18.8536 & -18.8537 & 3.61344822e-15 & 9.87 \\ \hline
Ackley's One & 10 & 187.917 & 184.0721 & 33.190007 & 3.1298 \\ \hline
& 20 & 389.45238 & 382.962 & 40.1378 & 4.6731 \\ \hline
& 30 & 593.39786 & 599.1116 & 64.28003 & 8.7728 \\ \hline
Ackley's Two & 10 & 217.1978 & 217.922 & 2.26465 & 3.055 \\ \hline
& 20 & 456.7024 & 459.70244 & 6.447889 & 7.001 \\ \hline
& 30 & 698.9139 & 700.1936 & 4.42437 & 8.4356 \\ \hline
Egg Holder & 10 & -374.3114 & -529.396 & 877.367109 & 1.998 \\ \hline
& 20 & -197.32204 & -339.2197 & 1196.0543 & 4.7621 \\ \hline
& 30 & -533.43484 & -507.8253 & 1366.0572 & 6.9981 \\ \hline
Rana & 10 & 126.682 & 92.4435 & 762.991158 & 5.1433 \\ \hline
& 20 & 44.632258 & 144.748 & 897.22947 & 9.4239 \\ \hline
& 30 & 147.21517 & 280.21517 & 1161.5825 & 14.221 \\ \hline
Pathological & 10 & 4.7605744 & 4.5666& 0.320334 & 3.1561 \\ \hline
& 20 & 10.02892 & 9.9324 & 0.485784 & 3.9714 \\ \hline
& 30 & 15.28425 & 15.1622 & 0.66075 & 4.9912 \\ \hline
Michalewicz & 10 & 0.904288 & 0.942 & 0.544008 & 1.3241 \\ \hline
& 20 & 1.73464 & 1.5955 & 0.733736 & 3.1149 \\ \hline
& 30 & 2.108609 & 1.9897 & 0.974908 & 4.8229 \\ \hline
Masters Cosine Wave & 10 &0.6488827 & 0.5623 & 2.0702 & 2.3341 \\ \hline
& 20 & -1.492407& -1.0483& 2.270724 & 3.4256 \\ \hline
& 30 & 0.885458 & 0.9459 & 3.441345 & 5.3243 \\ \hline
Shekel's Foxhole & 10 & -0.2105669 & -0.2023 & 0.038925 & 4.5623 \\ \hline
\end{tabular}
}
\end{document}

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lab2/search_function.h Normal file
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#pragma once
class search_function {
public:
function func;
search_function(function f) : func(f) {
};
virtual double search(int permutations, int dimensionality) = 0;
};

181
lab2/twister.c Normal file
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// http://www.math.keio.ac.jp/~matumoto/ver980409.html
// This is the ``Mersenne Twister'' random number generator MT19937, which
// generates pseudorandom integers uniformly distributed in 0..(2^32 - 1)
// starting from any odd seed in 0..(2^32 - 1). This version is a recode
// by Shawn Cokus (Cokus@math.washington.edu) on March 8, 1998 of a version by
// Takuji Nishimura (who had suggestions from Topher Cooper and Marc Rieffel in
// July-August 1997).
//
// Effectiveness of the recoding (on Goedel2.math.washington.edu, a DEC Alpha
// running OSF/1) using GCC -O3 as a compiler: before recoding: 51.6 sec. to
// generate 300 million random numbers; after recoding: 24.0 sec. for the same
// (i.e., 46.5% of original time), so speed is now about 12.5 million random
// number generations per second on this machine.
//
// According to the URL <http://www.math.keio.ac.jp/~matumoto/emt.html>
// (and paraphrasing a bit in places), the Mersenne Twister is ``designed
// with consideration of the flaws of various existing generators,'' has
// a period of 2^19937 - 1, gives a sequence that is 623-dimensionally
// equidistributed, and ``has passed many stringent tests, including the
// die-hard test of G. Marsaglia and the load test of P. Hellekalek and
// S. Wegenkittl.'' It is efficient in memory usage (typically using 2506
// to 5012 bytes of static data, depending on data type sizes, and the code
// is quite short as well). It generates random numbers in batches of 624
// at a time, so the caching and pipelining of modern systems is exploited.
// It is also divide- and mod-free.
//
// This library is free software; you can redistribute it and/or modify it
// under the terms of the GNU Library General Public License as published by
// the Free Software Foundation (either version 2 of the License or, at your
// option, any later version). This library is distributed in the hope that
// it will be useful, but WITHOUT ANY WARRANTY, without even the implied
// warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See
// the GNU Library General Public License for more details. You should have
// received a copy of the GNU Library General Public License along with this
// library; if not, write to the Free Software Foundation, Inc., 59 Temple
// Place, Suite 330, Boston, MA 02111-1307, USA.
//
// The code as Shawn received it included the following notice:
//
// Copyright (C) 1997 Makoto Matsumoto and Takuji Nishimura. When
// you use this, send an e-mail to <matumoto@math.keio.ac.jp> with
// an appropriate reference to your work.
//
// It would be nice to CC: <Cokus@math.washington.edu> when you write.
//
#include <stdio.h>
#include <stdlib.h>
//
// uint32 must be an unsigned integer type capable of holding at least 32
// bits; exactly 32 should be fastest, but 64 is better on an Alpha with
// GCC at -O3 optimization so try your options and see what's best for you
//
typedef unsigned long uint32;
#define N (624) // length of state vector
#define M (397) // a period parameter
#define K (0x9908B0DFU) // a magic constant
#define hiBit(u) ((u) & 0x80000000U) // mask all but highest bit of u
#define loBit(u) ((u) & 0x00000001U) // mask all but lowest bit of u
#define loBits(u) ((u) & 0x7FFFFFFFU) // mask the highest bit of u
#define mixBits(u, v) (hiBit(u)|loBits(v)) // move hi bit of u to hi bit of v
static uint32 state[N+1]; // state vector + 1 extra to not violate ANSI C
static uint32 *next; // next random value is computed from here
static int left = -1; // can *next++ this many times before reloading
void seedMT(uint32 seed)
{
//
// We initialize state[0..(N-1)] via the generator
//
// x_new = (69069 * x_old) mod 2^32
//
// from Line 15 of Table 1, p. 106, Sec. 3.3.4 of Knuth's
// _The Art of Computer Programming_, Volume 2, 3rd ed.
//
// Notes (SJC): I do not know what the initial state requirements
// of the Mersenne Twister are, but it seems this seeding generator
// could be better. It achieves the maximum period for its modulus
// (2^30) iff x_initial is odd (p. 20-21, Sec. 3.2.1.2, Knuth); if
// x_initial can be even, you have sequences like 0, 0, 0, ...;
// 2^31, 2^31, 2^31, ...; 2^30, 2^30, 2^30, ...; 2^29, 2^29 + 2^31,
// 2^29, 2^29 + 2^31, ..., etc. so I force seed to be odd below.
//
// Even if x_initial is odd, if x_initial is 1 mod 4 then
//
// the lowest bit of x is always 1,
// the next-to-lowest bit of x is always 0,
// the 2nd-from-lowest bit of x alternates ... 0 1 0 1 0 1 0 1 ... ,
// the 3rd-from-lowest bit of x 4-cycles ... 0 1 1 0 0 1 1 0 ... ,
// the 4th-from-lowest bit of x has the 8-cycle ... 0 0 0 1 1 1 1 0 ... ,
// ...
//
// and if x_initial is 3 mod 4 then
//
// the lowest bit of x is always 1,
// the next-to-lowest bit of x is always 1,
// the 2nd-from-lowest bit of x alternates ... 0 1 0 1 0 1 0 1 ... ,
// the 3rd-from-lowest bit of x 4-cycles ... 0 0 1 1 0 0 1 1 ... ,
// the 4th-from-lowest bit of x has the 8-cycle ... 0 0 1 1 1 1 0 0 ... ,
// ...
//
// The generator's potency (min. s>=0 with (69069-1)^s = 0 mod 2^32) is
// 16, which seems to be alright by p. 25, Sec. 3.2.1.3 of Knuth. It
// also does well in the dimension 2..5 spectral tests, but it could be
// better in dimension 6 (Line 15, Table 1, p. 106, Sec. 3.3.4, Knuth).
//
// Note that the random number user does not see the values generated
// here directly since reloadMT() will always munge them first, so maybe
// none of all of this matters. In fact, the seed values made here could
// even be extra-special desirable if the Mersenne Twister theory says
// so-- that's why the only change I made is to restrict to odd seeds.
//
register uint32 x = (seed | 1U) & 0xFFFFFFFFU, *s = state;
register int j;
for(left=0, *s++=x, j=N; --j;
*s++ = (x*=69069U) & 0xFFFFFFFFU);
}
uint32 reloadMT(void)
{
register uint32 *p0=state, *p2=state+2, *pM=state+M, s0, s1;
register int j;
if(left < -1)
seedMT(4357U);
left=N-1, next=state+1;
for(s0=state[0], s1=state[1], j=N-M+1; --j; s0=s1, s1=*p2++)
*p0++ = *pM++ ^ (mixBits(s0, s1) >> 1) ^ (loBit(s1) ? K : 0U);
for(pM=state, j=M; --j; s0=s1, s1=*p2++)
*p0++ = *pM++ ^ (mixBits(s0, s1) >> 1) ^ (loBit(s1) ? K : 0U);
s1=state[0], *p0 = *pM ^ (mixBits(s0, s1) >> 1) ^ (loBit(s1) ? K : 0U);
s1 ^= (s1 >> 11);
s1 ^= (s1 << 7) & 0x9D2C5680U;
s1 ^= (s1 << 15) & 0xEFC60000U;
return(s1 ^ (s1 >> 18));
}
uint32 randomMT(void)
{
uint32 y;
if(--left < 0)
return(reloadMT());
y = *next++;
y ^= (y >> 11);
y ^= (y << 7) & 0x9D2C5680U;
y ^= (y << 15) & 0xEFC60000U;
return(y ^ (y >> 18));
}
#ifdef NOCOMPILE
int main(void)
{
int j;
// you can seed with any uint32, but the best are odds in 0..(2^32 - 1)
seedMT(4357U);
// print the first 2,002 random numbers seven to a line as an example
for(j=0; j<2002; j++)
printf(" %10lu%s", (unsigned long) randomMT(), (j%7)==6 ? "\n" : "");
return(EXIT_SUCCESS);
}
#endif

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lab2/util.hpp Normal file
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struct timer{
std::chrono::high_resolution_clock::time_point t1;
std::chrono::high_resolution_clock::time_point t2;
void start(){t1 = std::chrono::high_resolution_clock::now();}
void end(){t2 = std::chrono::high_resolution_clock::now();}
double duration(){ return std::chrono::duration_cast<std::chrono::microseconds>( t2 - t1 ).count();}
};