private void RandomizeGenome()
{
_genome.Clear();
for (int i = 0; i < 100; i++)
{
_genome.Add(EvolutionHelper.randDouble(100));
}
}
private void GenrateCityMatrix()
{
cityMatrix.Clear();
for (int i = 0; i < _size; i++)
{
cityMatrix.Add(new City(EvolutionHelper.randDouble(1000), EvolutionHelper.randDouble(1000)));
}
}
public void Mutate()
{
int randNumCitiesToFlip = EvolutionHelper.rand(100);
for (int i = 0; i < randNumCitiesToFlip; i++)
{
int randIndex = EvolutionHelper.rand(100);
_genome[randIndex] = EvolutionHelper.randDouble(100);
}
}
private void Mutate()
{
foreach (Solution s in solutionList)
{
if (EvolutionHelper.chance(EvolutionHelper.probabilityOfSolutionMutation))
{
s.Mutate();
}
}
}
void Shuffle()
{
int n = solutionList.Count();
while (n > 1)
{
n--;
int k = EvolutionHelper.rand(n + 1);
Solution value = solutionList[k];
solutionList[k] = solutionList[n];
solutionList[n] = value;
}
}
private void Mate(int start)
{
int cross1 = EvolutionHelper.rand(100);
int cross2 = cross1;
while (cross1 == cross2)
{
cross1 = EvolutionHelper.rand(100);
}
if (cross1 > cross2)
{
SwapInt(ref cross1, ref cross2);
}
Solution parent1 = solutionList[start];
Solution parent2 = solutionList[start + 1];
List <double> child1Tour = new List <double>();
List <double> child2Tour = new List <double>();
for (int i = 0; i < 100; i++)
{
if ((i < cross1) || (i > cross2)) // two point crossover
//if (EvolutionHelper.randDouble(1) < .6) // uniform crossover
{
child1Tour.Add(parent1.Genome[i]);
child2Tour.Add(parent2.Genome[i]);
}
else
{
child1Tour.Add(parent2.Genome[i]);
child2Tour.Add(parent1.Genome[i]);
}
}
solutionList[start + 2].Genome = child1Tour;
solutionList[start + 3].Genome = child2Tour;
_problem.EvaluateSolution(solutionList[start + 2]);
_problem.EvaluateSolution(solutionList[start + 3]);
}
