public bool Mutate(Individual individual)
{
bool triedBackPropagation;
bool mutated = ResultSemanticsOperator.Operate(DesiredSemantics, individual,
SubTreePool, MaxTreeDepth, out triedBackPropagation);
double fitnessChange = 0;
if (triedBackPropagation && individual.FitnessEvaluated && FitnessEvaluator != null)
{
double fitness = FitnessEvaluator.Evaluate(individual, Problem).Fitness;
fitnessChange = fitness - individual.Fitness;
}
Statistics.Instance.AddBackpropagationAttemptMutation(triedBackPropagation, fitnessChange);
if (!triedBackPropagation && Fallback != null)
{
return(Fallback.Mutate(individual));
}
return(mutated);
}
private Individual GenerateChildren(Individual individual1, Individual individual2,
Semantics midpoint, out bool triedBackPropagation)
{
var child1 = new Individual(individual1);
child1.FitnessEvaluated = false;
var mutated = ResultSemanticsOperator.Operate(midpoint,
child1, SubTreePool, MaxTreeDepth, out triedBackPropagation);
double fitnessChange = 0;
if (mutated && triedBackPropagation && individual1.FitnessEvaluated && FitnessEvaluator != null)
{
double fitness = FitnessEvaluator.Evaluate(child1, Problem).Fitness;
fitnessChange = fitness - individual1.Fitness;
}
Statistics.Instance.AddBackpropagationAttemptCrossover(triedBackPropagation, fitnessChange);
return(mutated ? child1 : individual1);
}
