public bool Contains(Innovation innov)
{
switch (innov.type)
{
case InnovationType.Neuron:
return(neuronGenes.Contains(innov.innovationId));
case InnovationType.Synapse:
return(synapseGenes.Contains(innov.innovationId));
default:
return(false);
}
}
public int GetSynapseInnovationId(int fromNeuronId, int toNeuronId)
{
foreach (var innov in innovations) {
if (innov.type == InnovationType.Synapse &&
innov.fromNeuronId == fromNeuronId &&
innov.toNeuronId == toNeuronId) {
return innov.innovationId;
}
}
var innovation = new Innovation(InnovationType.Synapse, nextInnovationId, fromNeuronId, toNeuronId, -1);
innovations.Add(innovation);
nextInnovationId++;
return innovation.innovationId;
}
public int GetNeuronInnovationId(int fromNeuronId, int toNeuronId, int oldSynapseInnovationId)
{
foreach (var innov in innovations) {
if (innov.type == InnovationType.Neuron &&
innov.fromNeuronId == fromNeuronId &&
innov.toNeuronId == toNeuronId &&
innov.oldSynapseInnovationId == oldSynapseInnovationId) {
return innov.innovationId;
}
}
var innovation = new Innovation(InnovationType.Neuron, nextInnovationId, fromNeuronId, toNeuronId, oldSynapseInnovationId);
innovations.Add(innovation);
nextInnovationId += 2; // We increment by 2: once for each synapse
return innovation.innovationId;
}
public int GetSynapseInnovationId(int fromNeuronId, int toNeuronId)
{
foreach (var innov in innovations)
{
if (innov.type == InnovationType.Synapse &&
innov.fromNeuronId == fromNeuronId &&
innov.toNeuronId == toNeuronId)
{
return(innov.innovationId);
}
}
var innovation = new Innovation(InnovationType.Synapse, nextInnovationId, fromNeuronId, toNeuronId, -1);
innovations.Add(innovation);
nextInnovationId++;
return(innovation.innovationId);
}
public int GetInitialNeuronInnovationId(int i)
{
foreach (var innov in innovations) {
if (innov.type == InnovationType.Neuron &&
innov.innovationId == i) {
return innov.innovationId;
}
}
// Catch up (in case we fell behind by index)
if (nextInnovationId < i) {
nextInnovationId += i - nextInnovationId;
}
var innovNext = new Innovation(InnovationType.Neuron, nextInnovationId, -1, 1, -1);
nextInnovationId++;
innovations.Add(innovNext);
return innovNext.innovationId;
}
public int GetNeuronInnovationId(int fromNeuronId, int toNeuronId, int oldSynapseInnovationId)
{
foreach (var innov in innovations)
{
if (innov.type == InnovationType.Neuron &&
innov.fromNeuronId == fromNeuronId &&
innov.toNeuronId == toNeuronId &&
innov.oldSynapseInnovationId == oldSynapseInnovationId)
{
return(innov.innovationId);
}
}
var innovation = new Innovation(InnovationType.Neuron, nextInnovationId, fromNeuronId, toNeuronId, oldSynapseInnovationId);
innovations.Add(innovation);
nextInnovationId += 2; // We increment by 2: once for each synapse
return(innovation.innovationId);
}
public int GetInitialNeuronInnovationId(int i)
{
foreach (var innov in innovations)
{
if (innov.type == InnovationType.Neuron &&
innov.innovationId == i)
{
return(innov.innovationId);
}
}
// Catch up (in case we fell behind by index)
if (nextInnovationId < i)
{
nextInnovationId += i - nextInnovationId;
}
var innovNext = new Innovation(InnovationType.Neuron, nextInnovationId, -1, 1, -1);
nextInnovationId++;
innovations.Add(innovNext);
return(innovNext.innovationId);
}
public bool Contains(Innovation innov)
{
switch (innov.type) {
case InnovationType.Neuron:
return neuronGenes.Contains(innov.innovationId);
case InnovationType.Synapse:
return synapseGenes.Contains(innov.innovationId);
default:
return false;
}
}