private void LinkMutation(long sourceNodeInnovation, float weight) //HACK LinkMutation(long sourceNodeInnovation, float weight) - recurrent links are possible. We may disable this later.
{
string debugMsg = "LinkMutation on link with innovation " + sourceNodeInnovation + " using a weight of " + weight;
if (ArtGallery.DEBUG_LEVEL > ArtGallery.DEBUG.NONE)
{
Debug.Log(debugMsg);
}
long targetNodeInnovation = GetRandomNodeInnovation(sourceNodeInnovation, false);
NTYPE sourceNTYPE = GetNodeByInnovationID(sourceNodeInnovation).nTYPE;
NTYPE targetNTYPE = GetNodeByInnovationID(targetNodeInnovation).nTYPE;
if (
/* (sourceNTYPE == NTYPE.INPUT && targetNTYPE == NTYPE.INPUT) || // both inputs */
(sourceNTYPE == NTYPE.INPUT && targetNTYPE == NTYPE.HIDDEN) || // input -> hidden
(sourceNTYPE == NTYPE.INPUT && targetNTYPE == NTYPE.OUTPUT) || // input -> output
/* (sourceNTYPE == NTYPE.HIDDEN && targetNTYPE == NTYPE.HIDDEN) || // hidden -> hidden */
(sourceNTYPE == NTYPE.HIDDEN && targetNTYPE == NTYPE.OUTPUT)) // hidden -> output
{
long link = EvolutionaryHistory.NextInnovationID();
AddLink(sourceNodeInnovation, targetNodeInnovation, weight, link);
}
}
/// <summary>
/// New node with no target. Frozen by default
/// </summary>
/// <param name="fType">Activation function</param>
/// <param name="nType">Node type</param>
/// <param name="innovation">Uniqu innovation number for node</param>
/// <param name="frozen">True if new link mutations cannot target this node</param>
/// <param name="bias">Bias offset added to neuron sum before activation. Primarily needed by substrate networks from CPPNs</param>
public TWEANNNode(FTYPE fType, NTYPE nType, long innovation, bool frozen, float bias)
{
this.fType = fType;
this.nType = nType;
this.innovation = innovation;
this.frozen = frozen;
this.bias = bias;
outputs = new List <TWEANNLink>();
Flush();
}
public NodeGene(NTYPE nTYPE, FTYPE fTYPE, long innovation) : base(innovation)
{
this.fTYPE = fTYPE;
this.nTYPE = nTYPE;
bias = 0.0f;
}
public FullNodeGene(NTYPE nType, FTYPE fType, long innovation, float bias) : base(nType, fType, innovation)
{
this.bias = bias;
}
/// <summary>
/// New node with no target. Frozen by default
/// </summary>
/// <param name="fType">Activation function</param>
/// <param name="nType">Node type</param>
/// <param name="innovation">Unique innovation number for node</param>
/// <param name="bias">Bias offset added to neuron sum before activation. Primarily needed by substrate networks from CPPNs</param>
public TWEANNNode(FTYPE fType, NTYPE nType, long innovation, float bias) : this(fType, nType, innovation, false, bias)
{
}
// TODO any other vars needed to create a graphical output goes here
/// <summary>
/// New node with no target. Frozen by default
/// </summary>
/// <param name="fType">Activation function</param>
/// <param name="nType">Node type</param>
/// <param name="innovation">Uniqu innovation number for node</param>
public TWEANNNode(FTYPE fType, NTYPE nType, long innovation) : this(fType, nType, innovation, 0.0f)
{
}
