public IndividualBase Execute()
{
// Clears the Individual Population
population = new Population_MonoObjective_AG(Problem, InitialPopulationSize);
population.RandomInitialize();
// Make the Population become the Current Generation
Population_MonoObjective_AG currentGeneration = population;
Population_MonoObjective_AG newGeneration = null;
for (int idxGeracao = 0; idxGeracao < NumberOfGenerations; ++idxGeracao) {
newGeneration = RunGeneration(currentGeneration, selectionMethod, crossoverMethod, reinsertionMethod);
newGeneration.BestFirstSort();
currentGeneration = newGeneration;
}
return currentGeneration.BestIndividual;
}
public IndividualBase Execute()
{
// Clears the Individual Population
population = new Population_MonoObjective_AG(Problem, InitialPopulationSize);
population.RandomInitialize();
// Make the Population become the Current Generation
Population_MonoObjective_AG currentGeneration = population;
Population_MonoObjective_AG newGeneration = null;
for (int idxGeracao = 0; idxGeracao < NumberOfGenerations; ++idxGeracao)
{
newGeneration = RunGeneration(currentGeneration, selectionMethod, crossoverMethod, reinsertionMethod);
newGeneration.BestFirstSort();
currentGeneration = newGeneration;
}
return(currentGeneration.BestIndividual);
}
private Population_MonoObjective_AG RunGeneration(Population_MonoObjective_AG currentGeneration, SelectionMethodBase selectionMethod, CrossoverMethodBase crossoverMethod, /*IReinsertionMethod reinsertionMethod, */ ReinsertionMethodBase reinsertionMethod)
{
Population_MonoObjective_AG recentlyBorn = new Population_MonoObjective_AG(Problem, InitialPopulationSize);
int expectedChildCount = ((InitialPopulationSize * reinsertionMethod.OffspringPercentage) / 100);
while (recentlyBorn.IndividualCount < expectedChildCount)
{
IndividualBase parent1 = null, parent2 = null, child1 = null, child2 = null;
selectionMethod.Execute(currentGeneration, out parent1, out parent2);
crossoverMethod.Execute(parent1, parent2, out child1, out child2);
recentlyBorn.AddIndividual(child1);
recentlyBorn.AddIndividual(child2);
}
int mutatedChildCount = ((recentlyBorn.IndividualCount * mutationPct) / 100);
for (int idx = 0; idx < mutatedChildCount; ++idx)
{
IndividualBase randomIndividual = recentlyBorn.GetRandomIndividual();
Problem.MutateIndividual(randomIndividual);
}
IndividualBase individual = null;
for (int idx = 0; idx < recentlyBorn.IndividualCount; ++idx)
{
individual = recentlyBorn.Content[idx];
Problem.ValidateIndividual(individual);
IndividualEvaluator.Execute(individual, Problem);
}
Population_MonoObjective_AG newGeneration = reinsertionMethod.Execute(currentGeneration, recentlyBorn);
return(newGeneration);
}
private Population_MonoObjective_AG RunGeneration(Population_MonoObjective_AG currentGeneration, SelectionMethodBase selectionMethod, CrossoverMethodBase crossoverMethod, /*IReinsertionMethod reinsertionMethod, */ReinsertionMethodBase reinsertionMethod)
{
Population_MonoObjective_AG recentlyBorn = new Population_MonoObjective_AG(Problem, InitialPopulationSize);
int expectedChildCount = ((InitialPopulationSize * reinsertionMethod.OffspringPercentage) / 100);
while (recentlyBorn.IndividualCount < expectedChildCount) {
IndividualBase parent1 = null, parent2 = null, child1 = null, child2 = null;
selectionMethod.Execute(currentGeneration, out parent1, out parent2);
crossoverMethod.Execute(parent1, parent2, out child1, out child2);
recentlyBorn.AddIndividual(child1);
recentlyBorn.AddIndividual(child2);
}
int mutatedChildCount = ((recentlyBorn.IndividualCount * mutationPct) / 100);
for (int idx = 0; idx < mutatedChildCount; ++idx) {
IndividualBase randomIndividual = recentlyBorn.GetRandomIndividual();
Problem.MutateIndividual(randomIndividual);
}
IndividualBase individual = null;
for (int idx = 0; idx < recentlyBorn.IndividualCount; ++idx) {
individual = recentlyBorn.Content[idx];
Problem.ValidateIndividual(individual);
IndividualEvaluator.Execute(individual, Problem);
}
Population_MonoObjective_AG newGeneration = reinsertionMethod.Execute(currentGeneration, recentlyBorn);
return newGeneration;
}
public abstract Population_MonoObjective_AG Execute(Population_MonoObjective_AG lastGeneration, Population_MonoObjective_AG generatedChildren);
public abstract Population_MonoObjective_AG Execute(Population_MonoObjective_AG lastGeneration, Population_MonoObjective_AG generatedChildren);
