/// <summary>
/// Configuration GA.
/// </summary>
/// <param name="problemConfig">Problem represention</param>
/// <returns>GA</returns>
public static IEVA[] SetGA(IProblemConfig[] problemConfig, bool parlelization)
{
Console.WriteLine("Custom Genetic algorithm.");
var termination = ParameterSetter.SetTermination(problemConfig[0]);
var crossover = ParameterSetter.SetXover(problemConfig[0]);
var xoverProb = ParameterSetter.SetFloat("Xover Probability", 0, 1);
var mutation = ParameterSetter.SetMutation(problemConfig[0]);
var mutationProb = ParameterSetter.SetFloat("Mutation Probability", 0, 1);
var selection = ParameterSetter.SetSelection(problemConfig[0]);
var elitizmus = ParameterSetter.SetElite(problemConfig[0]);
var executor = problemConfig[0].CreateExecutor();
var popSize = ParameterSetter.SetPositiveIntParameter("Pop size", 2);
IEVA[] evas = new IEVA[problemConfig.Length];
int i = 0;
foreach (var config in problemConfig)
{
// creates population with curr. popSize
var population = new Population(popSize, config.CreateIndividual, config.CreateEmptyIndividual);
// new operators
var fitness = config.CreateFitness();
evas[i++] = new GeneticAlgorithm(population, fitness, selection, crossover, mutation, elitizmus, termination, executor, mutationProb, xoverProb);
}
return(evas);
}
/// <summary>
/// Notmal EA
/// </summary>
/// <param name="problemConfigName">Problem represention.</param>
/// <param name="inputFileName">Input image</param>
/// <param name="logRate">logger rate</param>
public static void RunImage(Type problemConfigName, string inputFileName, int logRate, bool parallelization)
{
// Scale img
var paramterScale = ParameterSetter.SetFloat("Scale", 0.01f, 1);
var consoleProblemConfig = Activator.CreateInstance(problemConfigName) as IImageProblemConfig;
consoleProblemConfig.Initialize(0);
consoleProblemConfig.InitializeScale(paramterScale);
consoleProblemConfig.Initialize(inputFileName);
var eva = Configuration.SetEVA(new[] { consoleProblemConfig }, parallelization);
var configuration = new Configuration();
configuration.SetGenerationInfoLog(eva[0], consoleProblemConfig, logRate);
consoleProblemConfig.ConfigGATermination(eva[0]);
eva[0].Run();
}