static void Main(string[] args)
{
Random random = new Random();
Reader reader = new Reader();
List <double> pregList = reader.GetPregnantData();
allSeeds = reader.GetAllUserData();
int min = -1;
int max = 1;
double mR = 0.08;
double cR = 0.6;
bool elitism = true;
int populationSeedListSize = 50;
int seedDataSize = 20;
// Generate list of seeds and add them to a populations
SeedGenerator seedGenerator = new SeedGenerator();
List <Seed> seeds = seedGenerator.CreateListOfSeeds(populationSeedListSize, seedDataSize, random, max, min);
Population population = new Population(seeds);
IFitness fitness = new FitnessSSE();
fitness.Fitness(allSeeds, pregList);
ICrossover crossover = new SinglePointCrossover();
crossover.Crossover(cR);
ISelection selection = new Roulette();
Mutation mutation = new Mutation(mR, max, min);
Elitisme elitisme = new Elitisme();
Genetic genetic = new Genetic(population, selection, crossover, fitness, elitisme, mutation, elitism);
int iterations = 500;
for (int i = 0; i < iterations; i++)
{
genetic.Run();
}
genetic.IsPregnent(elitisme.BestSeed, 8, allSeeds);
Console.ReadLine();
}
public Genetic(Population _population, ISelection _selection, ICrossover _crossover, IFitness _fitness, Elitisme _elitisme, Mutation _mutation, bool _elit)
{
selection = _selection;
crossover = _crossover;
mutation = _mutation;
population = _population;
fitness = _fitness;
elitisme = _elitisme;
elit = _elit;
fitness.Calculate(population.Seeds);
}