// Combine 2 parents' DNA using crossover & apply mutations
NN_Data CrossOver(NN_Data[] parents)
{
float[,] ih_w = new float[parents[0].ih_w.GetLength(0), parents[0].ih_w.GetLength(1)];
float[] ih_b = new float[parents[0].ih_b.Length];
float[,] ho_w = new float[parents[0].ho_w.GetLength(0), parents[0].ho_w.GetLength(1)];
float[] ho_b = new float[parents[0].ho_b.Length];
for (int row = 0; row < ih_w.GetLength(0); row++)
{
for (int col = 0; col < ih_w.GetLength(1); col++)
{
ih_w[row, col] = parents[Random.Range(0, 2)].ih_w[row, col];
if (mutationPercentage > Random.value)
{
ih_w[row, col] += (Random.value - .5f) * mutationScale;
}
}
}
for (int element = 0; element < ih_b.Length; element++)
{
ih_b[element] = parents[Random.Range(0, 2)].ih_b[element];
if (mutationPercentage > Random.value)
{
ih_b[element] += (Random.value - .5f) * mutationScale;
}
}
for (int row = 0; row < ho_w.GetLength(0); row++)
{
for (int col = 0; col < ho_w.GetLength(1); col++)
{
ho_w[row, col] = parents[Random.Range(0, 2)].ho_w[row, col];
if (mutationPercentage > Random.value)
{
ho_w[row, col] += (Random.value - .5f) * mutationScale;
}
}
}
for (int element = 0; element < ho_b.Length; element++)
{
ho_b[element] = parents[Random.Range(0, 2)].ho_b[element];
if (mutationPercentage > Random.value)
{
ho_b[element] += (Random.value - .5f) * mutationScale;
}
}
NN_Data childDNA = new NN_Data();
childDNA.UpdateData(ih_w, ih_b, ho_w, ho_b);
return(childDNA);
}
// Get saved NN data from a playerID
public static NN_Data ReadData(int playerID)
{
if (File.Exists(path + "Runner" + playerID.ToString() + ".txt"))
{
string[] lines = File.ReadAllLines(path + "Runner" + playerID.ToString() + ".txt");
string[] ih_w_rows = lines[0].Split(':');
float[,] ih_w = new float[ih_w_rows.Length, ih_w_rows[0].Split(',').Length];
for (int row = 0; row < ih_w.GetLength(0); row++)
{
string[] ih_w_cols = ih_w_rows[row].Split(',');
for (int col = 0; col < ih_w.GetLength(1); col++)
{
//File.WriteAllText(path + "Debug.txt", ih_w_cols[col]);
ih_w[row, col] = float.Parse(ih_w_cols[col]);
}
}
string[] ih_b_elements = lines[1].Split(',');
float[] ih_b = new float[ih_b_elements.Length];
for (int element = 0; element < ih_b_elements.Length; element++)
{
ih_b[element] = float.Parse(ih_b_elements[element]);
}
string[] ho_w_rows = lines[2].Split(':');
float[,] ho_w = new float[ho_w_rows.Length, ho_w_rows[0].Split(',').Length];
for (int row = 0; row < ho_w.GetLength(0); row++)
{
string[] ho_w_cols = ho_w_rows[row].Split(',');
for (int col = 0; col < ho_w.GetLength(1); col++)
{
ho_w[row, col] = float.Parse(ho_w_cols[col]);
}
}
string[] ho_b_elements = lines[3].Split(',');
float[] ho_b = new float[ho_b_elements.Length];
for (int element = 0; element < ho_b_elements.Length; element++)
{
ho_b[element] = float.Parse(ho_b_elements[element]);
}
NN_Data readData = new NN_Data();
readData.UpdateData(ih_w, ih_b, ho_w, ho_b);
return(readData);
}
else
{
return(null);
}
}
