public void RandomInitialize()
{
// Generate Initial Population
while (IndividualCount < this.InitialPopulationSize)
{
IndividualBase individual = Problem.CreateRandomSolution();
Problem.ValidateIndividual(individual);
IndividualEvaluator.Execute(individual, Problem);
if (!Content.Contains(individual))
{
AddIndividual(individual);
}
}
}
private Population_MultiObjective_AG Procreate(Population_MultiObjective_AG mating)
{
int expectedChildCount = InitialPopulationSize;
Population_MultiObjective_AG newGeneration = new Population_MultiObjective_AG(Problem, expectedChildCount);
while (newGeneration.IndividualCount < expectedChildCount)
{
// Selection Method
IndividualBase parent1 = BinaryTournment(mating);
IndividualBase parent2 = BinaryTournment(mating);
IndividualBase child1 = null, child2 = null;
// Crossover Method
Problem.PMXCrossover(parent1, parent2, out child1, out child2);
for (int i = 0; i < 10; ++i)
{
if (!newGeneration.Content.Contains(child1) || i == 9)
{
newGeneration.AddIndividual(child1);
break;
}
}
for (int i = 0; i < 10; ++i)
{
if (!newGeneration.Content.Contains(child2) || i == 9)
{
newGeneration.AddIndividual(child2);
break;
}
}
}
foreach (IndividualBase individual in newGeneration.Content)
{
int aleatoryPercentage = Aleatoriety.GetRandomInt(100);
if (aleatoryPercentage < mutationPct)
{
Problem.MutateIndividual(individual);
}
Problem.ValidateIndividual(individual);
IndividualEvaluator.Execute(individual, Problem);
}
return(newGeneration);
}
protected override void EvaluateObjectiveValues()
{
// Create Temporary Individuals
List <IndividualBase> temporaryList = new List <IndividualBase>();
for (int iCount = 0; iCount < 200; ++iCount)
{
IndividualBase i = Problem.CreateRandomSolution();
IndividualEvaluator.Execute(i, Problem);
temporaryList.Add(i);
}
foreach (Objective objective in Problem.MultiObjectiveGoal)
{
double maxValueFound = temporaryList.Max(I => I.GetFitnessForObjective(objective));
double adaptedMaxValue = Math.Abs(maxValueFound) * 2;
objective.BigValueForMaximization = adaptedMaxValue;
}
}
