/**
* Checks if the maximum fitness value has been reached, by checking if the population has an individual with the maximum amount of fitness.
*/
bool CanEnd(ConnectedBlocksGraph connectedBlocks, Population population, GeneticOptions geneticOptions)
{
return(GetMaxFitness(connectedBlocks, geneticOptions) == population.GetFitness().Max());
}
/**
* Creates a new population by recombining the parents to create children. Selects the parents to stay in the new population with roulette wheel selection.
* @see ParentRecombination()
*/
Population RefreshPopulation(Population population, ConnectedBlocksGraph connectedBlocks, GeneticOptions geneticOptions, Random random)
{
RouletteWheelSelection rouletteWheelSelection = new RouletteWheelSelection();
int childrenAmount = (int)(geneticOptions.PopulationSize * geneticOptions.PopulationRefreshing);
Individual[] children = new Individual[geneticOptions.PopulationSize];
for (int i = 0; i < childrenAmount; i++)
{
int[,] parents = ParentSelection(population, random);
children[i] = ParentRecombination(new Individual(Util.GetRow(parents, 0)), new Individual(Util.GetRow(parents, 1)), random);
children[i].CalculateFitness(connectedBlocks, geneticOptions);
}
for (int i = 0; i < geneticOptions.PopulationSize - childrenAmount; i++)
{
children[i + childrenAmount] = population.Individuals[rouletteWheelSelection.Selection(population.GetFitness(), random)];
}
return(new Population(children));
}
