private IndividualsGroup UNDX_MGG(IndividualsGroup parents, EvaluationMethod evaluationMethod)
{
UNDX_Parameters UNDXConfiguration = new UNDX_Parameters()
{
Alpha = 0.5,
Beta = 0.35,
NumberOfCrossovers = 10,
NumberOfParameters = parents.IndivisualsGroup[0].OptParameters.Length
};
UNDX undxExecutor = new UNDX(UNDXConfiguration);
MGG mggExecutor = new MGG();
// Execute Crossove with UNDX
var parameters = undxExecutor.ExecuteCrossover(parents);
var parentsIndex = undxExecutor.ParentsIndex;
// Calculate Characteristics
var fitnesses = evaluationMethod(parameters);
// Create Individuals
var offsprings = CreateIndividuals(parameters, fitnesses);
// Create New Individuals
var newIndividuals = mggExecutor.ExecuteSelection(offsprings);
// Return new population
return(UpdatePopulation(parents, (int[])parentsIndex, newIndividuals));
}
public UNDX(UNDX_Parameters parameters)
{
nCrossover = parameters.NumberOfCrossovers;
nParams = parameters.NumberOfParameters;
alpha = parameters.Alpha;
beta = parameters.Beta;
ParentsIndex = new int[2];
numberGenerator = new General.RandomNumber.RandomNumberGenerator();
}
