public void setDNA(dna nD)
{
this.weights_1 = copy_matrix(nD.getWeights1());
this.weights_2 = copy_matrix(nD.getWeights2());
this.weights_3 = copy_matrix(nD.getWeights3());
this.bias1 = copy_matrix(nD.getb1());
this.bias2 = copy_matrix(nD.getb2());
this.bias3 = copy_matrix(nD.getb3());
}
public dna crossover_DNA(dna parent_b)
{
Matrix <float> w1 = copy_matrix(parent_b.getWeights1());
Matrix <float> w2 = copy_matrix(parent_b.getWeights2());
Matrix <float> w3 = copy_matrix(parent_b.getWeights3());
Matrix <float> b1 = copy_matrix(parent_b.getb1());
Matrix <float> b2 = copy_matrix(parent_b.getb2());
Matrix <float> b3 = copy_matrix(parent_b.getb3());
Matrix <float> new_w1 = copy_matrix(weights_1);
for (int i = 0; i < (this.weights_1.RowCount * this.weights_1.ColumnCount) / 2; i++)
{
int randI = Random.Range(0, this.weights_1.RowCount);
int randJ = Random.Range(0, this.weights_1.ColumnCount);
new_w1[randI, randJ] = w1[randI, randJ];
}
Matrix <float> new_w2 = copy_matrix(weights_2);
for (int i = 0; i < (this.weights_2.RowCount * this.weights_2.ColumnCount) / 2; i++)
{
int randI = Random.Range(0, this.weights_2.RowCount);
int randJ = Random.Range(0, this.weights_2.ColumnCount);
new_w2[randI, randJ] = w2[randI, randJ];
}
Matrix <float> new_w3 = copy_matrix(weights_3);
for (int i = 0; i < (this.weights_3.RowCount * this.weights_3.ColumnCount) / 2; i++)
{
int randI = Random.Range(0, this.weights_3.RowCount);
int randJ = Random.Range(0, this.weights_3.ColumnCount);
new_w3[randI, randJ] = w3[randI, randJ];
}
Matrix <float> new_b1 = copy_matrix(bias1);
for (int i = 0; i < (this.bias1.RowCount * this.bias1.ColumnCount) / 2; i++)
{
int randI = Random.Range(0, this.bias1.RowCount);
new_b1[randI, 0] = b1[randI, 0];
}
Matrix <float> new_b2 = copy_matrix(bias2);
for (int i = 0; i < (this.bias2.RowCount * this.bias2.ColumnCount) / 2; i++)
{
int randI = Random.Range(0, this.bias2.RowCount);
new_b2[randI, 0] = b2[randI, 0];
}
Matrix <float> new_b3 = copy_matrix(bias3);
for (int i = 0; i < (this.bias3.RowCount * this.bias3.ColumnCount) / 2; i++)
{
int randI = Random.Range(0, this.bias3.RowCount);
new_b3[randI, 0] = b3[randI, 0];
}
dna new_dna = new dna();
new_dna.setDNA(new_w1, new_w2, new_w3, new_b1, new_b2, new_b3);
return(new_dna);
}