X-Git-Url: https://git.dlugolecki.net.pl/?a=blobdiff_plain;f=src%2Fmain.cpp;h=a208bbf863505071fd5af846174d223d045840c2;hb=1e175fb658e55f4cc8b894fff288be22998e78af;hp=958c2410403fe2017250815208a807a0179e0875;hpb=971fed67ac2e5a01b5232853c08e03ed05bebbe0;p=genetic.git

diff --git a/src/main.cpp b/src/main.cpp
index 958c241..a208bbf 100644
--- a/src/main.cpp
+++ b/src/main.cpp
@@ -1,41 +1,45 @@
-#include <iostream>
-#include <vector>
-
-#include <cstdlib>
-
 #include "gene.h"
 #include "chromosome.h"
+#include "generation.h"
+#include "generator/bitGenerator.h"
 
+#include "selection/rouletteSelection.h"
+#include "selection/linearRankSelection.h"
+#include "crossover/crossover.h"
+#include "mutation/mutation.h"
 #include "fitness/wsti.h"
 
-using namespace std;
+#include "algorithm.h"
+#include "condition/condition.h"
+#include "condition/generationLimitCondition.h"
+
 using namespace genetic;
 
 int main() {
-    typedef Gene<int> _Gene;
+    typedef Gene<bool> _Gene;
     typedef Chromosome<_Gene> _Chromosome;
 
-    time_t t;
-    srand((unsigned)time(&t));
+    typedef WSTI<_Chromosome> _Fitness;
+    typedef LinearRankSelection<_Chromosome> _Selection;
+    typedef Crossover<_Chromosome> _Crossover;
+    typedef Mutation<_Chromosome> _Mutation;
 
-    vector<_Gene> genes;
+    typedef generator::BitGenerator<_Chromosome> _Generator;
+    typedef Algorithm<_Chromosome, _Selection, _Crossover, _Mutation, _Fitness> _Algorithm;
+    typedef GenerationLimitCondition<_Chromosome> _Condition;
 
-    for (int i = 0; i < 20; i++) {
-        _Gene gene(rand() % 2);
-        cout << "Generated gene: " << (int)gene.get() << "\n";
-        genes.push_back(gene);
-    }
+    const int chromosomeSize = 10;
+    const int generationSize = 500;
+    const double crossoverChance = 0.75;
+    const double mutationChance = 0.01;
 
-    _Chromosome chromosome(genes);
+    _Fitness fitness(0.5, 2.5);
+    _Generator generationGenerator(generationSize, chromosomeSize);
 
-    cout << "Entire chromosome: ";
-    for (int i = 0; i < 20; i++) {
-        cout << chromosome.get()[i].get();
-    }
-    cout << endl;
-    WSTI<_Chromosome> fitness(chromosome, 0.5, 2.5);
+    _Algorithm algorithm(generationGenerator, fitness, crossoverChance, mutationChance);
+    _Condition condition(10000);
 
-    cout << "Fitness is equal to: " << (double)fitness.calculate() << "\n";
+    algorithm.searchForResult(condition);
 
     return 0;
 }