public void RunEvolution()
{
GeneticAlgorithmParameters parameters = new GeneticAlgorithmParameters(
populationSize: 10,
mutationRate: 0.3,
mutationAmplitute: 0.5);
//PopulationType specimenType = PopulationType.Arithmetic1D;
PopulationType specimenType = PopulationType.Arithmetic15D;
PopulationSetting populationSetting;
switch (specimenType)
{
case (PopulationType.Arithmetic1D):
populationSetting = new Arithmetic1DPopulation((s) => (Math.Pow(s.Genes[0] - 10, 2) + 5));
break;
case (PopulationType.Arithmetic2D):
populationSetting = new Arithmetic2DPopulation((s) => (Math.Pow((s.Genes[0] + 2 * s.Genes[1] - 7), 2) + Math.Pow((2 * s.Genes[0] + s.Genes[1] - 5), 2)));
break;
case (PopulationType.Arithmetic15D):
populationSetting = new Arithemtic15DPopulation((s) => GetResultOfFitFunctionForMultidimensionalFucntion(s));
break;
default: throw new Exception("Тип особей, для которых запускается симуляция, не задан! Завершение работы...");
}
geneticAlgorithm = new GeneticAlgorithm(parameters, populationSetting);
for (int i = 0; i < 5000; i++)
{
geneticAlgorithm.NewGeneration();
//Console.WriteLine();
//Console.WriteLine("Поколение: " + geneticAlgorithm.GenerationNum);
//ShowPopulation(geneticAlgorithm.CurrentGeneration);
//ShowBestInGeneration(geneticAlgorithm.CurrentGeneration, populationSetting);
}
ShowBestOfAllTime(geneticAlgorithm.allGenerations, populationSetting);
}
/*
* write dna
*/
static void Update()
{
genericAlgorithm.NewGeneration();
outGene(genericAlgorithm.BestGenes);
}