public Population(int size, IFitnessFunction fitnessFunction, IReproduction reproductionFunction, INodeMutator mutator, ISelection selection)
{
this.populationSize = size;
this.fitnessFunction = fitnessFunction;
this.reproductionFunction = reproductionFunction;
this.mutator = mutator;
this.selector = selection;
this.fitnessFunction.Initialise();
// Create the initial population
for (int i = 0; i < size; i++)
{
try
{
NodeContext zeroContext = new NodeContext();
zeroContext.AvailableCollections = fitnessFunction.GetCollections();
zeroContext.AvailableInputs = fitnessFunction.GetInputs();
INode candidateNode = NodeFactory.GenerateNode(zeroContext);
// Make sure we have a decent candidate (i.e. not too large)
double fitness = this.fitnessFunction.CalculateFitness(candidateNode);
if (fitness == Double.MaxValue) continue;
this.population.Add(NodeFactory.GenerateNode(zeroContext));
}
catch (StackOverflowException)
{
}
}
}
public NSGA2(IReproduction <TChromosome> crossover,
IEvaluator <TChromosome> evaluator,
IReinsertion <TChromosome> reinsertion)
{
_crossover = crossover;
_evaluator = evaluator;
_reinsertion = reinsertion;
}
public NSGA2(IReproduction <TChromosome> crossover,
IReproduction <TChromosome> mutation,
IEvaluator <TChromosome> evaluator,
IReinsertion <TChromosome> reinsertion) :
this(crossover, evaluator, reinsertion)
{
_mutation = mutation;
}
public RabbitFactory(IReproduction reproduction, Fitness.Fitness fitness, int dnaElementsCount)
{
if (dnaElementsCount <= 0)
{
throw new ArgumentException("value of dnaElementsCount is wrong. must be positive value.");
}
_reproduction = reproduction;
_dnaElementsCount = dnaElementsCount;
_fitness = fitness;
}
//---------------------------------------------------------------------
/// <summary>
/// Initializes the instance and its associated site variables.
/// </summary>
protected void Initialize(int timestep,
double[,] establishProbabilities)
{
this.timestep = timestep;
this.nextTimeToRun = timestep;
SiteVars.Initialize();
defaultReproduction = new Seeding(WardSeedDispersal.Algorithm);
SiteVars.Reproduction.ActiveSiteValues = defaultReproduction;
Reproduction.SetEstablishProbabilities(establishProbabilities);
}
//---------------------------------------------------------------------
/// <summary>
/// Initializes the instance and its associated site variables.
/// </summary>
protected void Initialize(int timestep,
double[,] establishProbabilities)
{
this.timestep = timestep;
this.nextTimeToRun = timestep;
SiteVars.Initialize();
defaultReproduction = new Seeding(WardSeedDispersal.Algorithm);
SiteVars.Reproduction.ActiveSiteValues = defaultReproduction;
Reproduction.SetEstablishProbabilities(establishProbabilities);
}
public TwoIslandsPopulation(int size, IFitnessFunction fitnessFunction, IReproduction reproductionFunction, INodeMutator mutator, ISelection selection)
{
this.populationSize = size;
this.fitnessFunction = fitnessFunction;
this.reproductionFunction = reproductionFunction;
this.mutator = mutator;
this.selector = selection;
this.fitnessFunction.Initialise();
// The main population needs initializing
this.IntialisePopulation(this.mainPopulation);
this.IntialisePopulation(this.secondaryPopulation);
}
