/// <summary>
/// Initializes a new instance of a GeneticAlgorithm.
/// </summary>
/// <param name="mutationFunction">Mutation function to apply during evolution.</param>
/// <param name="crossoverFunction">Crossover Function used during evolution.</param>
/// <param name="selectionFunction">Selection Function used in chromosome selection.</param>
/// <param name="pairingFunction">Pairing function used to select pairs of chromosomes during crossover.</param>
public GeneticAlgorithm(IMutationFunction mutationFunction, ICrossoverFunction crossoverFunction,
ISelectionFunction selectionFunction, IPairingFunction pairingFunction)
{
this.Mutation = mutationFunction;
this.Crossover = crossoverFunction;
this.Selection = selectionFunction;
this.Pairing = pairingFunction;
}
/// <summary>
/// Adds a mutation function to the chain.
/// <para>The mutator is required to handle sequence ranges.</para>
/// </summary>
/// <param name="mutator">Mutation function.</param>
/// <returns></returns>
public MutationChain Add(IMutationFunction mutator)
{
var mutations = new List <IMutationFunction>(this.Mutations)
{
mutator
};
return(new MutationChain(mutations, this.SequenceLength));
}
/// <summary>
/// Initializes the genetic pool using the specified seed and mutation functions.
/// </summary>
/// <param name="poolSize">Size of the pool to create.</param>
/// <param name="seed">Starting seed value.</param>
/// <param name="seedMutator">Mutator used during initialization of the pool.</param>
/// <param name="fitnessMetric">Fitness function for evaluating chromosomes.</param>
/// <param name="fitnessMode">Fitness mode.</param>
public Population(int poolSize, IChromosome seed, IMutationFunction seedMutator, IFitnessMetric fitnessMetric, FitnessMode fitnessMode)
: this(poolSize, () => seedMutator.Mutate(seed), fitnessMetric, fitnessMode)
{
}
