static EliminationGA()
{
Evaluator = new Evaluator(DataPath);
Selection = new TournamentSelection(TournamentSize);
var discreteRecombination = new DiscreteRecombination();
var simpleArithmetic = new SimpleArithmeticRecombination();
var singleArithmetic = new SingleArithmeticRecombination();
Crossover = new MixedCrossover(discreteRecombination, simpleArithmetic, singleArithmetic);
var gausMutation = new GausMutation(Sigma);
var singleGausMutation = new SingleGausMutation(SingleSigma);
Mutation = new MixedMutation(gausMutation, singleGausMutation);
}
static EliminationGA()
{
Ffann = new FFANN(new[] { 2, 8, 3 }, new[] { ActivationFunctions.Sigmoid(), ActivationFunctions.Sigmoid() });
ChromosomeSize = Ffann.WeightCount();
Evaluator = new Evaluator(DataPath, Ffann);
Selection = new TournamentSelection(TournamentSize);
var discreteRecombination = new DiscreteRecombination();
var simpleArithmetic = new SimpleArithmeticRecombination();
var singleArithmetic = new SingleArithmeticRecombination();
Crossover = new MixedCrossover(discreteRecombination, simpleArithmetic, singleArithmetic);
var gausMutation = new GausMutation(Sigma1, P1);
var newGausMutation = new NewGausMutation(Sigma2, P2);
Mutation = new MixedMutation(gausMutation, newGausMutation, P);
}
