public override void Execute(PopulationBase population, out IndividualBase chosenIndividual1, out IndividualBase chosenIndividual2)
{
IndividualBase[] selectedParents = new IndividualBase[2];
for (int individualIdx = 0; individualIdx < 2; ++individualIdx)
{
selectedParents[individualIdx] = population.GetRandomIndividual();
for (int selectionIdx = 1; selectionIdx < tourSize; ++selectionIdx)
{
IndividualBase randomIndividual = population.GetRandomIndividual();
if (randomIndividual.GetFitnessForObjective(Problem.MonoObjectiveGoal) > selectedParents[individualIdx].GetFitnessForObjective(Problem.MonoObjectiveGoal))
{
selectedParents[individualIdx] = randomIndividual;
}
}
}
chosenIndividual1 = selectedParents[0];
chosenIndividual2 = selectedParents[1];
}
public GAEvolveSum(
Random rand,
double partToReinsert,
int targetSum,
int poplLen,
int genomeNumbers,
int nbInterval,
double geneMutChance,
int geneMutRange)
{
ES_RandGenomeGenerator randGenomeGenerator;
GenerationGeneratorBase <int> generationGenerator;
IReinsertion <int> reinsertion;
IBreeding <int> breeding;
RandomInst = rand;
TargetSum = targetSum;
FitnessEval = new ES_FitnessEval(targetSum);
randGenomeGenerator = new ES_RandGenomeGenerator(genomeNumbers,
nbInterval,
rand);
reinsertion = new ReinsertBest <int>(
(int)(poplLen * partToReinsert));
breeding = NewBreeding(
poplLen,
partToReinsert,
geneMutChance,
geneMutRange);
generationGenerator = new GenerationGeneratorBase <int>(
poplLen,
reinsertion,
breeding);
Population = new PopulationBase <int>(
poplLen,
randGenomeGenerator,
generationGenerator);
}
public ShakespeareSolver(
string targetStr,
Random rand,
double partToReinsert,
int popLen,
double geneMutChance,
int geneMutRange)
{
TargetStr = targetStr;
FitnessEval = new Sh_FitnessEval(TargetStr, chars);
var randGenomeGenerator = new Sh_RandGenomeGenerator(
rand,
targetStr.Length,
geneMutRange,
chars);
var reinsertion = new ReinsertBest <char>(
(int)(popLen * partToReinsert));
var breeding = NewBreeding(
rand,
popLen,
partToReinsert,
geneMutChance,
geneMutRange);
var generationGenerator = new GenerationGeneratorBase <char>(
popLen,
reinsertion,
breeding);
Population = new PopulationBase <char>(
popLen,
randGenomeGenerator,
generationGenerator);
}
public abstract void Execute(PopulationBase population, out IndividualBase chosenIndividual1, out IndividualBase chosenIndividual2);
public override void Execute(PopulationBase population, out IndividualBase chosenIndividual1, out IndividualBase chosenIndividual2)
{
throw new NotImplementedException();
}
