/// <summary>
/// Default constructor.
/// </summary>
public NeatGenome( uint genomeId,
NeuronGeneList neuronGeneList,
ConnectionGeneList connectionGeneList,
int inputNeuronCount,
int outputNeuronCount)
{
this.genomeId = genomeId;
this.neuronGeneList = neuronGeneList;
this.connectionGeneList = connectionGeneList;
this.inputNeuronCount = inputNeuronCount;
this.inputAndBiasNeuronCount = inputNeuronCount+1;
this.outputNeuronCount = outputNeuronCount;
this.inputBiasOutputNeuronCount = inputAndBiasNeuronCount + outputNeuronCount;
this.inputBiasOutputNeuronCountMinus2 = inputBiasOutputNeuronCount-2;
Debug.Assert(connectionGeneList.IsSorted(), "ConnectionGeneList is not sorted by innovation ID");
}
public NeatGenome(uint genomeId,
NeuronGeneList neuronGeneList,
List<ModuleGene> moduleGeneList,
ConnectionGeneList connectionGeneList,
int inputNeuronCount,
int outputNeuronCount,
int outputsPerPolicy) // Schrum: Added
{
this.genomeId = genomeId;
this.neuronGeneList = neuronGeneList;
this.moduleGeneList = moduleGeneList;
this.connectionGeneList = connectionGeneList;
this.inputNeuronCount = inputNeuronCount;
// Schrum: Removed (not used)
//this.inputAndBiasNeuronCount = inputNeuronCount+1;
this.outputNeuronCount = outputNeuronCount;
// Schrum: Removed (not used)
//this.inputBiasOutputNeuronCount = inputAndBiasNeuronCount + outputNeuronCount;
//this.inputBiasOutputNeuronCountMinus2 = inputBiasOutputNeuronCount-2;
// Schrum: Added
this.outputsPerPolicy = outputsPerPolicy;
Debug.Assert(connectionGeneList.IsSorted(), "ConnectionGeneList is not sorted by innovation ID");
}
/// <summary>
/// Copy constructor.
/// </summary>
/// <param name="copyFrom"></param>
public NeatGenome(NeatGenome copyFrom, uint genomeId)
{
this.genomeId = genomeId;
this.parent = copyFrom;
// No need to loop the arrays to clone each element because NeuronGene and ConnectionGene are
// value data types (structs).
neuronGeneList = new NeuronGeneList(copyFrom.neuronGeneList);
moduleGeneList = new List<ModuleGene>(copyFrom.moduleGeneList);
connectionGeneList = new ConnectionGeneList(copyFrom.connectionGeneList);
//joel
if(copyFrom.Behavior!=null)
Behavior = new SharpNeatLib.BehaviorType(copyFrom.Behavior);
inputNeuronCount = copyFrom.inputNeuronCount;
// Schrum: Removed (not used)
//inputAndBiasNeuronCount = copyFrom.inputNeuronCount+1;
outputNeuronCount = copyFrom.outputNeuronCount;
// Schrum: removed (not used)
//inputBiasOutputNeuronCount = copyFrom.inputBiasOutputNeuronCount;
//inputBiasOutputNeuronCountMinus2 = copyFrom.inputBiasOutputNeuronCountMinus2;
// Schrum: Added
outputsPerPolicy = copyFrom.outputsPerPolicy;
Debug.Assert(connectionGeneList.IsSorted(), "ConnectionGeneList is not sorted by innovation ID");
}
public NeatGenome(long genomeId,
NeuronGeneList neuronGeneList,
List<ModuleGene> moduleGeneList,
ConnectionGeneList connectionGeneList,
int inputNeuronCount,
int outputNeuronCount)
{
this.genomeId = genomeId;
this.neuronGeneList = neuronGeneList;
this.moduleGeneList = moduleGeneList;
this.connectionGeneList = connectionGeneList;
this.inputNeuronCount = inputNeuronCount;
this.inputAndBiasNeuronCount = inputNeuronCount+1;
this.outputNeuronCount = outputNeuronCount;
this.inputBiasOutputNeuronCount = inputAndBiasNeuronCount + outputNeuronCount;
this.inputBiasOutputNeuronCountMinus2 = inputBiasOutputNeuronCount-2;
//all genomes must be catalogued by the evolution manager
EvolutionManager.SharedEvolutionManager.GenomeCreated(this);
if (!connectionGeneList.IsSorted())
{
connectionGeneList.IsSorted();
}
Debug.Assert(connectionGeneList.IsSorted(), "ConnectionGeneList is not sorted by innovation ID");
}
/// <summary>
/// Copy constructor.
/// </summary>
/// <param name="copyFrom"></param>
public NeatGenome(NeatGenome copyFrom, long genomeId)
{
this.genomeId = genomeId;
this.parent = copyFrom;
// No need to loop the arrays to clone each element because NeuronGene and ConnectionGene are
// value data types (structs).
neuronGeneList = new NeuronGeneList(copyFrom.neuronGeneList);
moduleGeneList = new List<ModuleGene>(copyFrom.moduleGeneList);
connectionGeneList = new ConnectionGeneList(copyFrom.connectionGeneList);
//joel
if(copyFrom.Behavior!=null)
Behavior = new SharpNeatLib.BehaviorType(copyFrom.Behavior);
inputNeuronCount = copyFrom.inputNeuronCount;
inputAndBiasNeuronCount = copyFrom.inputNeuronCount+1;
outputNeuronCount = copyFrom.outputNeuronCount;
inputBiasOutputNeuronCount = copyFrom.inputBiasOutputNeuronCount;
inputBiasOutputNeuronCountMinus2 = copyFrom.inputBiasOutputNeuronCountMinus2;
//all genomes must be catalogued by the evolution manager
EvolutionManager.SharedEvolutionManager.GenomeCreated(this);
if (!connectionGeneList.IsSorted())
{
connectionGeneList.IsSorted();
}
Debug.Assert(connectionGeneList.IsSorted(), "ConnectionGeneList is not sorted by innovation ID");
}
/// <summary>
/// Copy constructor.
/// </summary>
/// <param name="copyFrom"></param>
public NeatGenome(NeatGenome copyFrom, uint genomeId)
{
this.genomeId = genomeId;
// No need to loop the arrays to clone each element because NeuronGene and ConnectionGene are
// value data types (structs).
neuronGeneList = new NeuronGeneList(copyFrom.neuronGeneList);
connectionGeneList = new ConnectionGeneList(copyFrom.connectionGeneList);
inputNeuronCount = copyFrom.inputNeuronCount;
inputAndBiasNeuronCount = copyFrom.inputNeuronCount+1;
outputNeuronCount = copyFrom.outputNeuronCount;
inputBiasOutputNeuronCount = copyFrom.inputBiasOutputNeuronCount;
inputBiasOutputNeuronCountMinus2 = copyFrom.inputBiasOutputNeuronCountMinus2;
Debug.Assert(connectionGeneList.IsSorted(), "ConnectionGeneList is not sorted by innovation ID");
}
public NeatGenome(uint genomeId,
NeuronGeneList neuronGeneList,
List<ModuleGene> moduleGeneList,
ConnectionGeneList connectionGeneList,
int inputNeuronCount,
int outputNeuronCount)
{
this.genomeId = genomeId;
this.neuronGeneList = neuronGeneList;
this.moduleGeneList = moduleGeneList;
this.connectionGeneList = connectionGeneList;
this.inputNeuronCount = inputNeuronCount;
this.inputAndBiasNeuronCount = inputNeuronCount+1;
this.outputNeuronCount = outputNeuronCount;
this.inputBiasOutputNeuronCount = inputAndBiasNeuronCount + outputNeuronCount;
this.inputBiasOutputNeuronCountMinus2 = inputBiasOutputNeuronCount-2;
//justin
objectives = new double[6];
nearestNeighbors = 0;
localGenomeNovelty = 0;
competition = 0;
geneticDiversity = 0;
locality = 0;
Fitness = 0;
RealFitness = 0;
Debug.Assert(connectionGeneList.IsSorted(), "ConnectionGeneList is not sorted by innovation ID");
}
/// <summary>
/// Copy constructor.
/// </summary>
/// <param name="copyFrom"></param>
public NeatGenome(NeatGenome copyFrom, uint genomeId)
{
this.genomeId = genomeId;
// No need to loop the arrays to clone each element because NeuronGene and ConnectionGene are
// value data types (structs).
neuronGeneList = new NeuronGeneList(copyFrom.neuronGeneList);
moduleGeneList = new List<ModuleGene>(copyFrom.moduleGeneList);
connectionGeneList = new ConnectionGeneList(copyFrom.connectionGeneList);
//joel
if(copyFrom.Behavior!=null)
Behavior = new SharpNeatLib.BehaviorType(copyFrom.Behavior);
//justin
objectives = (double[])(copyFrom.objectives.Clone());
nearestNeighbors = copyFrom.nearestNeighbors;
localGenomeNovelty = copyFrom.localGenomeNovelty;
competition = copyFrom.competition;
geneticDiversity = copyFrom.geneticDiversity;
locality = copyFrom.locality;
Fitness = copyFrom.Fitness;
RealFitness = copyFrom.RealFitness;
inputNeuronCount = copyFrom.inputNeuronCount;
inputAndBiasNeuronCount = copyFrom.inputNeuronCount+1;
outputNeuronCount = copyFrom.outputNeuronCount;
inputBiasOutputNeuronCount = copyFrom.inputBiasOutputNeuronCount;
inputBiasOutputNeuronCountMinus2 = copyFrom.inputBiasOutputNeuronCountMinus2;
Debug.Assert(connectionGeneList.IsSorted(), "ConnectionGeneList is not sorted by innovation ID");
}