public IChromosome[] reproduce(IChromosome[] intermediate)
{
Random Rand = new Random();
IMutation mutator;
ICrossover crossover;
switch (this.mutationType)
{
case 0:
mutator = new SingleMutation();
break;
case 1:
MutationRate = 1;
mutator = new MultiMutation();
break;
default:
mutator = null;
break;
}
switch (this.crossoverType)
{
case 0:
crossover = new SinglePointCrossover();
break;
case 1:
crossover = new DualPointCrossover();
break;
default:
crossover = null;
break;
}
int count = 0;
int next;
foreach (IChromosome c in intermediate)
{
int value = Rand.Next(0, 10);
if (!c.Elite)
{
if (0.1 * value < crossoverRate)
{
if (count > intermediate.Length)
{
next = 0;
}
else
{
next = count;
}
IChromosome[] generation = crossover.evolve(c, intermediate[next]);
intermediate[count] = generation[1];
if (count == 0)
{
intermediate[intermediate.Length - 1] = generation[0];
}
else
{
intermediate[count - 1] = generation[0];
}
}
}
count++;
}
count = 0;
foreach (IChromosome c in intermediate)
{
if (!c.Elite)
{
int value = Rand.Next(0, 10);
if (0.1 * value < mutationRate)
{
intermediate[count] = mutator.mutate(c);
}
}
count++;
}
return(intermediate);
}
public IChromosome[] reproduce(IChromosome[] intermediate)
{
Random Rand = new Random();
IMutation mutator;
ICrossover crossover;
switch (this.mutationType)
{
case 0:
mutator = new SingleMutation();
break;
case 1:
MutationRate = 1;
mutator = new MultiMutation();
break;
default:
mutator = null;
break;
}
switch (this.crossoverType)
{
case 0:
crossover = new SinglePointCrossover();
break;
case 1:
crossover = new DualPointCrossover();
break;
default:
crossover = null;
break;
}
int count = 0;
int next;
foreach (IChromosome c in intermediate)
{
int value = Rand.Next(0, 10);
if (!c.Elite)
{
if (0.1 * value < crossoverRate)
{
if (count > intermediate.Length)
{
next = 0;
}
else
{
next = count;
}
IChromosome[] generation = crossover.evolve(c, intermediate[next]);
intermediate[count] = generation[1];
if (count == 0)
{
intermediate[intermediate.Length - 1] = generation[0];
}
else
{
intermediate[count - 1] = generation[0];
}
}
}
count ++;
}
count = 0;
foreach (IChromosome c in intermediate)
{
if (!c.Elite)
{
int value = Rand.Next(0, 10);
if (0.1 * value < mutationRate)
{
intermediate[count] = mutator.mutate(c);
}
}
count++;
}
return intermediate;
}
