public OrderedGeneticAlgorithm(GAConfiguration configuration, params Gene[] possibleValues)
{
Configuration = configuration;
PossibleValues = possibleValues;
StandardConstructorLogic();
}
private GARun GetRunForExample()
{
var solution = new ShakespeareSolution();
var task = new GATask(solution);
task.ParentSelectionStrategy = ParentSelectionStrategy.TournamentFive;
task.MutationStrategy = MutationStrategy.Random;
task.CrossoverStrategy = CrossoverStrategy.TwoPoint;
task.ImmigrationStrategy = ImmigrationStrategy.Dynamic;
task.RetirementStrategy = RetirementStrategy.None;
task.ScoringStrategy = ScoringStrategy.Lowest;
task.DuplicationStrategy = DuplicationStrategy.Prevent;
task.PopulationSize = 1000;
task.MaxGenerations = 100;
task.CrossoverRate = 0.659410;
task.MutationRate = 0.074880;
task.ElitismRate = 0.021880;
task.ImmigrationRate = 0.150480;
task.MaxRetirement = 0;
task.ChildrenPerParents = 1;
task.RandomSeed = 567545391;
task.RandomPoolGenerationSeed = 22;
var config = new GAConfiguration(task);
var gaRun = solution.Run(config);
return(gaRun);
}
public static Chromosome[] GenerateUnorderedPopulation(GAConfiguration configuration, Type unorderedGeneType)
{
if (configuration == null || unorderedGeneType == null)
{
throw new ArgumentException("Invalid parameters passed to the genome generator");
}
var isUnorderedGene = typeof(UnorderedGene).IsAssignableFrom(unorderedGeneType);
if (!isUnorderedGene)
{
throw new ArgumentException("Can not create an unordered population from a non-unordered gene type.");
}
if (configuration.GeneSize <= 1)
{
throw new ArgumentException("Gene size must be larger than 1.");
}
var list = new Chromosome[configuration.PopulationSize];
for (int i = 0; i < configuration.PopulationSize; i++)
{
list[i] = new UnorderedChromosome(configuration.GeneSize, unorderedGeneType, configuration.Random);
list[i].FirstName = NameGenerator.GetFirstName(configuration.RandomFirstNameSeed);
list[i].LastName = NameGenerator.GetLastName(configuration.RandomLastNameSeed);
}
return(list);
}
public void ItAllowsAValidRetirementType()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.RetirementStrategy = RetirementStrategy.MaxChildren;
var settings = new GAConfiguration(task);
}
public void ItAllowsAValidMutationType()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.MutationStrategy = MutationStrategy.Boundary;
var settings = new GAConfiguration(task);
}
public void ItAllowsAValidImmigrationType()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.ImmigrationStrategy = ImmigrationStrategy.Constant;
var settings = new GAConfiguration(task);
}
public void ItAllowsAValidCrossoverType()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.CrossoverStrategy = CrossoverStrategy.AlternatingPosition;
var settings = new GAConfiguration(task);
}
public void ItDoesNotAllowsAnInvalidCrossoverType()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.CrossoverStrategy = 0;
var settings = new GAConfiguration(task);
}
public void ItsConstructorsCanSetTheStrategies()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
var settings = new GAConfiguration(task);
Assert.IsTrue(settings.IsValid());
}
public override GARun Run(GAConfiguration configuration)
{
Configuration = configuration;
Configuration.GeneSize = GetGeneSize();
GeneticAlgorithm = new UnorderedGeneticAlgorithm(Configuration, GetNewGene(new Random()).GetType());
return(GeneticAlgorithm.Run());
}
public void ItAllowsAValidParentSelectionType()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.ParentSelectionStrategy = ParentSelectionStrategy.RouletteWheel;
var settings = new GAConfiguration(task);
}
protected override Chromosome Perform(Chromosome father, Chromosome mother, GAConfiguration settings)
{
var geneCount = father.Genes.Length;
var child = new OrderedChromosome(geneCount);
var crossoverPoint = settings.GetRandomInteger(1, father.Genes.Length - 1);
var seen = new HashSet <Gene>();
for (int i = 0; i < crossoverPoint; i++)
{
child.Genes[i] = father.Genes[i];
seen.Add(father.Genes[i]);
}
var count = 0;
for (int i = 0; i < geneCount; i++)
{
if (!seen.Contains(mother.Genes[i]))
{
child.Genes[crossoverPoint + count] = mother.Genes[i];
seen.Add(mother.Genes[i]);
count++;
}
}
return(child);
}
public void ItDoesNotAllowsAnInvalidParentSelectionType()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.ParentSelectionStrategy = 0;
var settings = new GAConfiguration(task);
}
protected override Chromosome Perform(Chromosome father, Chromosome mother, GAConfiguration configuration)
{
var geneCount = father.Genes.Length;
var childOne = new UnorderedChromosome(geneCount);
var childTwo = new UnorderedChromosome(geneCount);
var crossoverPoint = configuration.GetRandomInteger(1, father.Genes.Length - 1);
for (int i = 0; i < geneCount; i++)
{
if (i < crossoverPoint)
{
childOne.Genes[i] = father.Genes[i];
childTwo.Genes[i] = mother.Genes[i];
}
else
{
childOne.Genes[i] = mother.Genes[i];
childTwo.Genes[i] = father.Genes[i];
}
}
if (configuration.GetNextDouble() < 0.5)
{
return(childOne);
}
else
{
return(childTwo);
}
}
public Chromosome Execute(Chromosome father, Chromosome mother, GAConfiguration configuration)
{
if (father == null || mother == null)
{
throw new ArgumentException(INVALID_CHROMOSOME_SIZE);
}
if (father.Genes == null || mother.Genes == null)
{
throw new ArgumentException(INVALID_CHROMOSOME_SIZE);
}
if (father.Genes.Length != mother.Genes.Length)
{
throw new ArgumentException(INVALID_CHROMOSOME_SIZE);
}
if (father.Genes.Length <= 1)
{
throw new ArgumentException(INVALID_CHROMOSOME_SIZE);
}
father.Children++;
mother.Children++;
var child = Perform(father, mother, configuration);
child.LastName = father.LastName;
child.FirstName = NameGenerator.GetFirstName(configuration.RandomFirstNameSeed);
child.SetParents(father, mother);
return(child);
}
public void ItAllowsRetirementTypeMaxChildrenWhenRetirementMaximumIsAboveOne()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.RetirementStrategy = RetirementStrategy.MaxChildren;
task.MaxRetirement = 2;
var settings = new GAConfiguration(task);
}
public void ItAllowsRetirementTypeNoneWhenRetirementMaximumIsBelowZero()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.RetirementStrategy = RetirementStrategy.None;
task.MaxRetirement = 1;
var settings = new GAConfiguration(task);
}
public void ItThrowsAnExceptionIfRetirementTypeMaxChildrenWhenRetirementMaximumIsBelowZero()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.RetirementStrategy = RetirementStrategy.MaxChildren;
task.MaxRetirement = 0;
var settings = new GAConfiguration(task);
}
public void Setup(Chromosome[] pop, GAConfiguration configuration)
{
Configuration = configuration;
Population = pop;
NormalizeAllFitnessScores();
SetupSelection();
Validate();
}
public void Configure(IMvxPluginConfiguration configuration)
{
if (!(configuration is GAConfiguration))
{
throw new System.Exception("Configuration does not appear to be a valid GAConfiguration.");
}
_Configuration = (GAConfiguration)configuration;
}
public override GARun Run(GAConfiguration configuration)
{
Configuration = configuration;
var options = GetOptions();
GeneticAlgorithm = new OrderedGeneticAlgorithm(Configuration, options);
return(GeneticAlgorithm.Run());
}
public void ItCanCopyObjects()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
var config = new GAConfiguration(task);
Assert.AreEqual(task.MutationStrategy, config.MutationStrategy);
Assert.AreEqual(task.CrossoverStrategy, config.CrossoverStrategy);
Assert.AreEqual(task.ParentSelectionStrategy, config.ParentSelectionStrategy);
}
private void SetConfiguration()
{
_configuration = GATestHelper.GetTravelingSalesmanDefaultConfiguration();
_configuration.DuplicationStrategy = DuplicationStrategy.Prevent;
_configuration.PopulationSize = 10;
_configuration.MaxRetirement = 2;
_configuration.MaxGenerations = 5;
_exampleGenes = Array.ConvertAll(GATestHelper.GetTravelingSalesmanChromosome().Genes, option => (TravelingSalesmanGene)option);
}
public void ItsConstructorsCanSetTheStrategiesWhenUnordered()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.MutationStrategy = MutationStrategy.Random;
var settings = new GAConfiguration(task);
Assert.IsTrue(settings.IsValid());
}
public void Mutate(Chromosome chromosome, GAConfiguration settings)
{
for (int i = 0; i < chromosome.Genes.Length; i++)
{
if (settings.GetNextDouble() < settings.MutationRate)
{
Perform(settings, chromosome, i);
}
}
}
public void ItCopiesByValue()
{
var task = GATestHelper.GetDummyTravelingSalesmanTask();
var config = new GAConfiguration(task);
var value = GATestHelper.GetRandomInteger(1, int.MaxValue - 1);
task.MutationRate = value;
Assert.AreNotEqual(value, config.MutationRate);
}
public void ItCanCopyProperties()
{
var randomValue = GATestHelper.GetNextDouble();
var task = GATestHelper.GetDummyTravelingSalesmanTask();
task.MutationRate = randomValue;
var config = new GAConfiguration(task);
Assert.AreEqual(randomValue, config.MutationRate);
}
protected override Chromosome Perform(Chromosome father, Chromosome mother, GAConfiguration settings)
{
var geneCount = father.Genes.Length;
DetermineCycle(father, mother);
var child = new OrderedChromosome(mother.Genes);
PlaceCycleInsideOfChild(father, child);
return(child);
}
private Chromosome[] GetUnorderedChromosomes(GAConfiguration config)
{
var chromosomes = new Chromosome[config.PopulationSize];
for (int i = 0; i < config.PopulationSize; i++)
{
chromosomes[i] = new UnorderedChromosome(PhraseSolution.Shakespeare.Length, typeof(PhraseGene), _random);
}
return(chromosomes);
}
private void DetermineCrossoverPoints(int numberOfGenes, GAConfiguration configuration)
{
_firstCrossoverPoint = configuration.GetRandomInteger(1, numberOfGenes - 1);
_secondCrossoverPoint = configuration.GetRandomInteger(1, numberOfGenes - 1, _firstCrossoverPoint);
if (_firstCrossoverPoint > _secondCrossoverPoint)
{
var temp = _firstCrossoverPoint;
_firstCrossoverPoint = _secondCrossoverPoint;
_secondCrossoverPoint = temp;
}
}