public void Start()
{
if (_executor == null)
{
throw new Exception("Executor was not initialized");
}
//create the population
IList <IChromosome> list = new List <IChromosome>();
GeneFactory.Initialize(_config.Genes);
for (int i = 0; i < _config.PopulationSize; i++)
{
list.Add(new Chromosome(true, GeneFactory.Config));
}
int max = _config.PopulationSizeMaximum < _config.PopulationSize ? _config.PopulationSize * 2 : _config.PopulationSizeMaximum;
_population = new PreloadPopulation(_config.PopulationSize, max, list);
_population.GenerationStrategy = new PerformanceGenerationStrategy();
//create the GA itself
var ga = new GeneticAlgorithm(_population, _fitness, new TournamentSelection(),
_config.OnePointCrossover ? new OnePointCrossover() : new TwoPointCrossover(), new UniformMutation(true));
//subscribe to events
ga.GenerationRan += GenerationRan;
ga.TerminationReached += TerminationReached;
ga.TaskExecutor = _executor;
ga.Termination = new OrTermination(new FitnessStagnationTermination(_config.StagnationGenerations), new GenerationNumberTermination(_config.Generations));
ga.Reinsertion = new ElitistReinsertion();
ga.MutationProbability = _config.MutationProbability;
ga.CrossoverProbability = _config.CrossoverProbability;
//run the GA
ga.Start();
}
public void Start()
{
_executor = new SmartThreadPoolTaskExecutor()
{
MinThreads = 1
};
_executor.MaxThreads = _config.MaxThreads > 0 ? _config.MaxThreads : 8;
//create the population
IList <IChromosome> list = new List <IChromosome>();
var geneConfig = GeneFactory.Load();
for (int i = 0; i < _config.PopulationSize; i++)
{
list.Add(new Chromosome(true, geneConfig));
}
int max = _config.PopulationSizeMaximum < _config.PopulationSize ? _config.PopulationSize * 2 : _config.PopulationSizeMaximum;
_population = new PreloadPopulation(_config.PopulationSize, max, list);
_population.GenerationStrategy = new PerformanceGenerationStrategy();
//create the GA itself
var ga = new GeneticAlgorithm(_population, _fitness, new TournamentSelection(),
_config.OnePointCrossover ? new OnePointCrossover() : new TwoPointCrossover(), new UniformMutation(true));
//subscribe to events
ga.GenerationRan += GenerationRan;
ga.TerminationReached += TerminationReached;
ga.TaskExecutor = _executor;
ga.Termination = new OrTermination(new FitnessStagnationTermination(_config.StagnationGenerations), new GenerationNumberTermination(_config.Generations));
ga.Reinsertion = new ElitistReinsertion();
//run the GA
ga.Start();
}
public override IChromosome CreateNew()
{
var config = GeneFactory.Load();
return(new Chromosome(false, config));
}
public override Gene GenerateGene(int geneIndex)
{
var item = _config[geneIndex];
return(GeneFactory.Generate(item, _isActual));
}
