public void Reset(int inputSize, int outputSize)
{
InputSize = inputSize;
OutputSize = outputSize;
Connections.Clear();
Nodes.Clear();
// Directly access property of the newly addded node to list
for (int i = 0; i < inputSize; i++)
{
NodeGene n = AddNode();
n.X = 0.1f; // Used for drawing
float _testa = i + 1;
float _testb = inputSize + 1;
float _testc = _testa / _testb;
//n.Y = _testc;
n.Y = i + 1 / inputSize + 1;
}
for (int i = 0; i < outputSize; i++)
{
NodeGene n = AddNode();
n.X = 0.9f; // Used for drawing
n.Y = i + 1 / outputSize + 1;
}
}
public int GetReplaceIndex(NodeGene node1, NodeGene node2)
{
ConnectionGene con = new ConnectionGene(node1, node2);
ConnectionGene data = Connections[con];
if (data == null)
{
return(0);
}
return(data.ReplaceIndex);
}
/// <summary>
/// Add a new node to the nervous system
/// </summary>
/// <returns>Returns the added node</returns>
public NodeGene AddNode()
{
if (Nodes.Count > MAX_NODES)
{
return(null);
}
NodeGene n = new NodeGene(Nodes.Count + 1);
Nodes.Add(n);
return(n);
}
public ConnectionGene AddConnection(NodeGene node1, NodeGene node2)
{
/// Check if the current connection exists on the current genome
ConnectionGene connectionGene = new ConnectionGene(node1, node2);
if (Connections.ContainsKey(connectionGene))
{
connectionGene.InnovationNumber = Connections[connectionGene].InnovationNumber;
}
else
{
connectionGene.InnovationNumber = Connections.Count + 1;
Connections.Add(connectionGene, connectionGene);
}
return(connectionGene);
}
public ConnectionGene(NodeGene from, NodeGene to) : this()
{
From = from;
To = to;
}
public void SetReplaceIndex(NodeGene node1, NodeGene node2, int index)
{
Connections[new ConnectionGene(node1, node2)].ReplaceIndex = index;
}
