public SolutionTSP Clone()
{
SolutionTSP copy = (SolutionTSP)this.MemberwiseClone();
copy.solution = (int[])this.solution.Clone();
return(copy);
}
public void Run(int maxGen, double crosProb, double mutProb)
{
// Initialization
for (int i = 0; i < popSize; i++)
{
pop[i] = new SolutionTSP(rand);
pop[i].Initialize();
}
// Evalutaion
double bestFitness = double.MinValue;
foreach (SolutionTSP s in pop)
{
s.Evaluate();
if (s.Fitness > bestFitness)
{
bestFitness = s.Fitness;
Console.WriteLine("best {0} in generation {1}", bestFitness, 0);
}
}
for (int gen = 1; gen < maxGen; gen++)
{
SolutionTSP[] npop = new SolutionTSP[popSize];
//selection
for (int i = 0; i < popSize; i++)
{
int r1 = rand.Next(popSize);
int r2;
do
{
r2 = rand.Next(popSize);
} while (r1 == r2);
npop[i] = pop[r1].Fitness < pop[r2].Fitness ? pop[r1].Clone() : pop[r2].Clone();
}
//cross
//for (int i = 0; i < popSize - 1; i += 2)
//{
// npop[i].Cross(npop[i + 1], crosProb);
//}
//mutation
for (int i = 0; i < popSize; i++)
{
npop[i].Mutate(mutProb);
}
foreach (SolutionTSP s in npop)
{
s.Evaluate();
if (s.Fitness < bestFitness)
{
bestFitness = s.Fitness;
Console.WriteLine("best {0} in generation {1}", bestFitness, gen);
}
}
for (int i = 0; i < popSize; i++)
{
pop[i] = npop[i];
}
}
}
