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