public void SetupContext()
{
floatRange = new FloatRange(-5.11, 5.12);
generatePopulation = new GeneratePopulationFloat();
int populationSize = 20, gensCount = 1;
chromosomes = generatePopulation.Generate(floatRange, populationSize, gensCount);
fitnessFunc = new SphericalFunction(FitnessFuncGoal.Min);
}
public GeneticAlgorithm(
int populationSize, int paramsCount, double generationGapPart,
ISelection selection,
CrossoverOperator crossoverOperator,
MutationOperator mutationOperator,
IFitnessFunc fitnessFunc,
FloatRange range)
{
chromosomes = new List <IntChromosome>(populationSize);
this.generationGapPart = generationGapPart;
this.selection = selection;
this.crossoverOperator = crossoverOperator;
this.mutationOperator = mutationOperator;
this.fitnessFunc = fitnessFunc;
this.paramsCount = paramsCount;
this.range = range;
generatePopulationInt = new GeneratePopulationInt();
random = new Random();
bitCountForIntCoding = Coder.BitCountForIntCoding(range);
GeneratePopulation();
}
