/// <summary>
/// Concat all the gene strings in the consultor genome list
/// </summary>
/// <returns>Genome converted to string</returns>
public string GetGenomeString()
{
string genome = ""; //
int numberOfGenes = geneList.Count;
for (int i = 0; i < numberOfGenes; i++)
{
NEATGene gene = geneList[i];
genome += gene.GetGeneString();
if (i < numberOfGenes - 1)
{
genome += "_";
}
}
return(genome);
}
/// <summary>
/// Check if a given gene already exists within the gene list.
/// </summary>
/// <param name="inNodeID">Input node to check</param>
/// <param name="outNodeID">Output node the check</param>
/// <returns>Innovation number for this gene</returns>
public int CheckGeneExistance(int inNodeID, int outNodeID)
{
NEATGene gene = null;
int oldInnovationNumber = innovationNumber;
int numberOfGenes = geneList.Count;
//Check if this gene exists in the current consultor gene list
for (int i = 0; i < numberOfGenes; i++)
{
gene = geneList[i];
int inID = gene.GetInID();
int outID = gene.GetOutID();
if (inID == inNodeID && outID == outNodeID)
{
return(gene.GetInnovation());
}
}
AddNewGene(innovationNumber, inNodeID, outNodeID); //create a new gene
innovationNumber++; //increment innovation number
return(oldInnovationNumber); //return old innovation number
}
private List <NEATGene> geneList; //consultor gene list
/// <summary>
/// Creating consultor structure NEAT packet retrived from database and coefficient information from UI
/// </summary>
/// <param name="packet">NEATPacket retrieved from database</param>
/// <param name="deltaThreshold">Delta threshold to set</param>
/// <param name="disjointCoefficient">Disjoint coefficient to set</param>
/// <param name="excessCoefficient">Excess coefficient to set</param>
/// <param name="averageWeightDifferenceCoefficient">Averange weight difference coefficient to set</param>
public NEATConsultor(NEATPacket packet, float deltaThreshold, float disjointCoefficient, float excessCoefficient, float averageWeightDifferenceCoefficient)
{
this.numberOfInputs = packet.node_inputs; //get number of inputs from packet
this.numberOfOutputs = packet.node_outputs; //get number of outputs from packet
//copy thresholdes and coefficients
this.deltaThreshold = deltaThreshold;
this.disjointCoefficient = disjointCoefficient;
this.excessCoefficient = excessCoefficient;
this.averageWeightDifferenceCoefficient = averageWeightDifferenceCoefficient;
int informationSize = NEATGene.GENE_INFORMATION_SIZE; //get number of gene information size
float[] geneInformation = packet.consultor_genome.Split('_').Select(x => float.Parse(x)).ToArray(); //using Linq libary and delimiters, parse and spilt string genome from neat packet into float array
geneList = new List <NEATGene>();
for (int i = 0; i < geneInformation.Length; i += informationSize)
{
NEATGene gene = new NEATGene(innovationNumber, (int)geneInformation[i], (int)geneInformation[i + 1], 1f, true);
geneList.Add(gene);
innovationNumber++;
}
}
/// <summary>
/// Create a new gene and add it to the gene list.
/// </summary>
/// <param name="inno">New innovation number</param>
/// <param name="inNodeID">New input node</param>
/// <param name="outNodeID">New output node</param>
public void AddNewGene(int inno, int inNodeID, int outNodeID)
{
NEATGene gene = new NEATGene(inno, inNodeID, outNodeID, 1f, true);
geneList.Add(gene);
}
