/// <summary>
/// Initializes a new instance of the <see cref="GAF.Population"/> class.
/// </summary>
/// <param name="populationSize"></param>
/// <param name="chromosomeLength"></param>
/// <param name="reEvaluateAll"></param>
/// <param name="useLinearlyNormalisedFitness"></param>
/// <param name="selectionMethod"></param>
/// <param name = "evaluateInParallel"></param>
public Population(int populationSize, int chromosomeLength, bool reEvaluateAll,
bool useLinearlyNormalisedFitness, ParentSelectionMethod selectionMethod, bool evaluateInParallel)
{
if (populationSize % 2 != 0)
{
throw new ArgumentException("Population size must be an even number.");
}
//set the default values
this.InitialisationType = InitialisationType.Random;
_reEvaluateAll = reEvaluateAll;
_useLinearlyNormalisedFitness = useLinearlyNormalisedFitness;
_parentSelectionMethod = selectionMethod;
_evaluateInParallel = evaluateInParallel;
this.Initialise(populationSize, chromosomeLength);
}
/// <summary>
/// Initializes a new instance of the <see cref="GAF.Population"/> class.
/// </summary>
/// <param name="populationSize">Population size.</param>
/// <param name="chromosomeLength">Chromosome length.</param>
/// <param name="reEvaluateAll">If set to <c>true</c> re evaluate all.</param>
/// <param name="useLinearlyNormalisedFitness">If set to <c>true</c> use linearly normalised fitness.</param>
/// <param name="selectionMethod">Selection method.</param>
public Population(int populationSize, int chromosomeLength, bool reEvaluateAll,
bool useLinearlyNormalisedFitness, ParentSelectionMethod selectionMethod)
: this(populationSize, chromosomeLength, reEvaluateAll,
useLinearlyNormalisedFitness, selectionMethod, false)
{
}
