/// <summary>
/// Construct a genome, do not provide links and neurons.
/// </summary>
/// <param name="training">The owner object.</param>
/// <param name="id">The genome id.</param>
/// <param name="inputCount">The input count.</param>
/// <param name="outputCount">The output count.</param>
public NEATGenome(NEATTraining training, long id,
int inputCount, int outputCount)
: base(training)
{
GenomeID = id;
AdjustedScore = 0;
this.inputCount = inputCount;
this.outputCount = outputCount;
AmountToSpawn = 0;
speciesID = 0;
double inputRowSlice = 0.8 / (inputCount);
neuronsChromosome = new Chromosome();
linksChromosome = new Chromosome();
for (int i = 0; i < inputCount; i++)
{
neuronsChromosome.Genes.Add(new NEATNeuronGene(NEATNeuronType.Input, i,
0, 0.1 + i * inputRowSlice));
}
neuronsChromosome.Genes.Add(new NEATNeuronGene(NEATNeuronType.Bias,
inputCount, 0, 0.9));
double outputRowSlice = 1 / (double)(outputCount + 1);
for (int i = 0; i < outputCount; i++)
{
neuronsChromosome.Genes.Add(new NEATNeuronGene(NEATNeuronType.Output, i
+ inputCount + 1, 1, (i + 1) * outputRowSlice));
}
for (int i = 0; i < inputCount + 1; i++)
{
for (int j = 0; j < outputCount; j++)
{
linksChromosome.Genes.Add(new NEATLinkGene(
((NEATNeuronGene)neuronsChromosome.Genes[i]).Id,
((NEATNeuronGene)Neurons.Genes[inputCount + j + 1])
.Id, true, inputCount + outputCount + 1
+ NumGenes, RangeRandomizer.Randomize(-1,
1), false));
}
}
this.Chromosomes.Add(neuronsChromosome);
this.Chromosomes.Add(linksChromosome);
}
/// <summary>
/// Create a NEAT gnome.
/// </summary>
/// <param name="training">The owner object.</param>
/// <param name="genomeID">The genome id.</param>
/// <param name="neurons">The neurons.</param>
/// <param name="links">The links.</param>
/// <param name="inputCount">The input count.</param>
/// <param name="outputCount">The output count.</param>
public NEATGenome(NEATTraining training, long genomeID,
Chromosome neurons, Chromosome links,
int inputCount, int outputCount)
: base(training)
{
GenomeID = genomeID;
linksChromosome = links;
neuronsChromosome = neurons;
AmountToSpawn = 0;
AdjustedScore = 0;
this.inputCount = inputCount;
this.outputCount = outputCount;
this.Chromosomes.Add(neuronsChromosome);
this.Chromosomes.Add(linksChromosome);
}
/// <summary>
/// Construct a genome, do not provide links and neurons.
/// </summary>
/// <param name="training">The owner object.</param>
/// <param name="id">The genome id.</param>
/// <param name="inputCount">The input count.</param>
/// <param name="outputCount">The output count.</param>
public NEATGenome(NEATTraining training, long id,
int inputCount, int outputCount)
: base(training)
{
GenomeID = id;
AdjustedScore = 0;
this.inputCount = inputCount;
this.outputCount = outputCount;
AmountToSpawn = 0;
speciesID = 0;
double inputRowSlice = 0.8 / (inputCount);
neuronsChromosome = new Chromosome();
linksChromosome = new Chromosome();
for (int i = 0; i < inputCount; i++)
{
neuronsChromosome.Genes.Add(new NEATNeuronGene(NEATNeuronType.Input, i,
0, 0.1 + i * inputRowSlice));
}
neuronsChromosome.Genes.Add(new NEATNeuronGene(NEATNeuronType.Bias,
inputCount, 0, 0.9));
double outputRowSlice = 1 / (double)(outputCount + 1);
for (int i = 0; i < outputCount; i++)
{
neuronsChromosome.Genes.Add(new NEATNeuronGene(NEATNeuronType.Output, i
+ inputCount + 1, 1, (i + 1) * outputRowSlice));
}
for (int i = 0; i < inputCount + 1; i++)
{
for (int j = 0; j < outputCount; j++)
{
linksChromosome.Genes.Add(new NEATLinkGene(
((NEATNeuronGene)neuronsChromosome.Genes[i]).Id,
((NEATNeuronGene)Neurons.Genes[inputCount + j + 1])
.Id, true, inputCount + outputCount + 1
+ NumGenes, RangeRandomizer.Randomize(-1,
1), false));
}
}
this.Chromosomes.Add(neuronsChromosome);
this.Chromosomes.Add(linksChromosome);
}
/// <summary>
/// Create a NEAT gnome.
/// </summary>
/// <param name="training">The owner object.</param>
/// <param name="genomeID">The genome id.</param>
/// <param name="neurons">The neurons.</param>
/// <param name="links">The links.</param>
/// <param name="inputCount">The input count.</param>
/// <param name="outputCount">The output count.</param>
public NEATGenome(NEATTraining training, long genomeID,
Chromosome neurons, Chromosome links,
int inputCount, int outputCount)
: base(training)
{
GenomeID = genomeID;
linksChromosome = links;
neuronsChromosome = neurons;
AmountToSpawn = 0;
AdjustedScore = 0;
this.inputCount = inputCount;
this.outputCount = outputCount;
this.Chromosomes.Add(neuronsChromosome);
this.Chromosomes.Add(linksChromosome);
}