public TicTacToeGenetic(FeedforwardNetwork network,
bool reset, int populationSize,
double mutationPercent, double percentToMate,
Type opponent)
{
this.setOpponent(opponent);
this.MutationPercent = mutationPercent;
this.MatingPopulation = percentToMate * 2;
this.PopulationSize = populationSize;
this.PercentToMate = percentToMate;
this.Chromosomes = new TicTacToeChromosome[this.PopulationSize];
for (int i = 0; i < this.Chromosomes.Length; i++)
{
FeedforwardNetwork chromosomeNetwork = (FeedforwardNetwork)network
.Clone();
if (reset)
{
chromosomeNetwork.Reset();
}
TicTacToeChromosome c = new TicTacToeChromosome(this,
chromosomeNetwork);
c.UpdateGenes();
SetChromosome(i, c);
}
SortChromosomes();
}
public TicTacToeGenetic(FeedforwardNetwork network,
bool reset, int populationSize,
double mutationPercent, double percentToMate,
Type opponent)
{
this.setOpponent(opponent);
this.MutationPercent=mutationPercent;
this.MatingPopulation=percentToMate * 2;
this.PopulationSize=populationSize;
this.PercentToMate=percentToMate;
this.Chromosomes = new TicTacToeChromosome[this.PopulationSize];
for (int i = 0; i < this.Chromosomes.Length; i++)
{
FeedforwardNetwork chromosomeNetwork = (FeedforwardNetwork)network
.Clone();
if (reset)
{
chromosomeNetwork.Reset();
}
TicTacToeChromosome c = new TicTacToeChromosome(this,
chromosomeNetwork);
c.UpdateGenes();
SetChromosome(i, c);
}
SortChromosomes();
}
public TicTacToeGenetic(FeedforwardNetwork network,
bool reset, int populationSize,
double mutationPercent, double percentToMate,
Type opponent)
{
this.setOpponent(opponent);
this.MutationPercent=mutationPercent;
this.MatingPopulation=percentToMate * 2;
this.PopulationSize=populationSize;
this.PercentToMate=percentToMate;
this.Chromosomes = new TicTacToeChromosome[this.PopulationSize];
var rangePartitioner = Partitioner.Create(0, this.Chromosomes.Length);
//Parallel.ForEach(rangePartitioner, (range, loopState) =>
{
for (int i = 0; i < Chromosomes.Length; i++)
{
Console.WriteLine("step: " + i);
FeedforwardNetwork chromosomeNetwork = (FeedforwardNetwork)network
.Clone();
if (reset)
{
chromosomeNetwork.Reset();
}
TicTacToeChromosome c = new TicTacToeChromosome(this,
chromosomeNetwork);
c.UpdateGenes();
lock (_locker)
{
SetChromosome(i, c);
}
}
};
Console.WriteLine("PreEpoch # Error:" + getScore());
SortChromosomes();
}
public TicTacToeGenetic(FeedforwardNetwork network,
bool reset, int populationSize,
double mutationPercent, double percentToMate,
Type opponent)
{
this.setOpponent(opponent);
this.MutationPercent = mutationPercent;
this.MatingPopulation = percentToMate * 2;
this.PopulationSize = populationSize;
this.PercentToMate = percentToMate;
this.Chromosomes = new TicTacToeChromosome[this.PopulationSize];
var rangePartitioner = Partitioner.Create(0, this.Chromosomes.Length);
//Parallel.ForEach(rangePartitioner, (range, loopState) =>
{
for (int i = 0; i < Chromosomes.Length; i++)
{
Console.WriteLine("step: " + i);
FeedforwardNetwork chromosomeNetwork = (FeedforwardNetwork)network
.Clone();
if (reset)
{
chromosomeNetwork.Reset();
}
TicTacToeChromosome c = new TicTacToeChromosome(this,
chromosomeNetwork);
c.UpdateGenes();
lock (_locker)
{
SetChromosome(i, c);
}
}
};
Console.WriteLine("PreEpoch # Error:" + getScore());
SortChromosomes();
}
