protected override IEvolvable crossover(IEvolvable other)
{
if (other is SelectMutateCrossoverPopulation)
{
SelectMutateCrossoverPopulation mate = (SelectMutateCrossoverPopulation)other;
return(new SelectMutateCrossoverPopulation(
this.ParentPopulation,
Evolution.RandomInterpolation(random, this.MutationRate, mate.MutationRate),
Evolution.RandomInterpolation(random, this.EliteClonePercentage, mate.EliteClonePercentage),
Evolution.RandomInterpolation(random, this.SelectedPercentage, mate.SelectedPercentage),
Evolution.RandomInterpolation(random, this.NewPopulationSize, mate.NewPopulationSize),
0,
(int)Evolution.RandomInterpolation(random, this.Resources, mate.Resources),
(int)Evolution.RandomInterpolation(random, this.Feedings, mate.Feedings),
Evolution.RandomInterpolation(random, this.EnoughFeedingsForBreeding, mate.EnoughFeedingsForBreeding),
random,
random.NextDouble() < 0.5 ? this.Creator : mate.Creator,
0, 0, 0,
this.Fitness > mate.Fitness ? this.FitnessHistory.Select(a => a).ToList() : mate.FitnessHistory.Select(a => a).ToList(),
this.individuals.Union(mate.individuals).OrderByDescending(a => a.Fitness).Take((int)Evolution.RandomInterpolation(random, this.PopulationSize, mate.PopulationSize)).ToList(),
this.BestOfAllTime.Fitness > mate.BestOfAllTime.Fitness ? this.BestOfAllTime : mate.BestOfAllTime,
0, 0, Mutations + mate.Mutations, Crossovers + mate.Crossovers, FitnessEvaluations + mate.FitnessEvaluations, 0
));
}
else
{
return(base.crossover(other));
}
}
//public Evolution(Random random, ICreator creator, int breedingPools, int populationPerPool) : base(null, random, new IndividualMutateAndCrossoverPopulationCreator(null, random, creator, populationPerPool), breedingPools) { Init(); }
public Evolution(Evolution evolution)
: base(evolution)
{
Pause = evolution.Pause;
MaxSimulationRounds = evolution.MaxSimulationRounds;
MaxRuntime = evolution.MaxRuntime;
MaxFitness = evolution.MaxFitness;
MaxRoundsWithoutFitnessChange = evolution.MaxRoundsWithoutFitnessChange;
MaxFeedings = evolution.MaxFeedings;
EnoughFeedingsForBreeding = evolution.EnoughFeedingsForBreeding;
runtimeInMilliseconds = evolution.runtimeInMilliseconds;
RoundsWithoutFitnessChange = evolution.RoundsWithoutFitnessChange;
}
protected override IEvolvable crossover(IEvolvable other)
{
if (other is IndividualMutateAndCrossoverPopulation)
{
IndividualMutateAndCrossoverPopulation mate = (IndividualMutateAndCrossoverPopulation)other;
return(new IndividualMutateAndCrossoverPopulation(
this.ParentPopulation,
Evolution.RandomInterpolation(random, this.MaxSize, mate.MaxSize),
new List <IEvolvable>(),
(int)Evolution.RandomInterpolation(random, this.FoodForPopulation, mate.FoodForPopulation),
random,
random.NextDouble() < 0.5 ? this.Creator : mate.Creator,
0, 0, 0,
this.Fitness > mate.Fitness ? this.FitnessHistory.Select(a => a).ToList() : mate.FitnessHistory.Select(a => a).ToList(),
this.individuals.Union(mate.individuals).OrderByDescending(a => a.Fitness).Take((int)Evolution.RandomInterpolation(random, this.PopulationSize, mate.PopulationSize)).ToList(),
this.BestOfAllTime.Fitness > mate.BestOfAllTime.Fitness ? this.BestOfAllTime : mate.BestOfAllTime,
0, 0, Mutations + mate.Mutations, Crossovers + mate.Crossovers, FitnessEvaluations + mate.FitnessEvaluations, 0
));
}
else
{
return(base.crossover(other));
}
}