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PositionBasedCrossover.cs
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PositionBasedCrossover.cs
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using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Linq;
namespace GeneticSharp
{
/// <summary>
/// Position-based crossover (POS).
/// <remarks>
/// The position-based crossover operator (POS), which was also suggested in connection with schedule problems,
/// is a second modification of the OX1 operator. It also starts with selecting a random set of positions in
/// the parent strings. However, this operator imposes the position of the selected elements on the
/// corresponding elements of the other parent. For example, consider the parents (1 2 3 4 5 6 7 8)
/// and (2 4 6 8 7 5 3 1), and suppose that the second, third and sixth positions are selected.
/// This leads to the following offspring: (1 4 6 2 3 5 7 8) and (4 2 3 8 7 6 5 1).
/// </remarks>
/// </summary>
[DisplayName("Position-based (POS)")]
public class PositionBasedCrossover : OrderBasedCrossover
{
#region Constructors
/// <summary>
/// Initializes a new instance of the <see cref="GeneticSharp.PositionBasedCrossover"/> class.
/// </summary>
public PositionBasedCrossover()
{
}
#endregion
#region Methods
/// <summary>
/// Validates the parents.
/// </summary>
/// <param name="parents">The parents.</param>
protected override void ValidateParents(IList<IChromosome> parents)
{
if (parents.AnyHasRepeatedGene())
{
throw new CrossoverException(this, "The Position-based Crossover (POS) can be only used with ordered chromosomes. The specified chromosome has repeated genes.");
}
}
/// <summary>
/// Creates the child.
/// </summary>
/// <param name="firstParent">First parent.</param>
/// <param name="secondParent">Second parent.</param>
/// <param name="swapIndexes">The swap indexes.</param>
/// <returns>
/// The child.
/// </returns>
protected override IChromosome CreateChild(IChromosome firstParent, IChromosome secondParent, int[] swapIndexes)
{
var secondParentSwapGenes = secondParent.GetGenes()
.Select((g, i) => new { Gene = g, Index = i })
.Where((g) => swapIndexes.Contains(g.Index))
.ToArray();
using (var firstParentRemainingGenes = firstParent.GetGenes()
.Except(secondParentSwapGenes.Select(element => element.Gene).ToArray()).GetEnumerator())
{
var child = firstParent.CreateNew();
var secondParentSwapGensIndex = 0;
for (int i = 0; i < firstParent.Length; i++)
{
if (secondParentSwapGenes.Any(f => f.Index == i))
{
child.ReplaceGene(i, secondParentSwapGenes[secondParentSwapGensIndex++].Gene);
}
else
{
firstParentRemainingGenes.MoveNext();
child.ReplaceGene(i, firstParentRemainingGenes.Current);
}
}
return child;
}
}
#endregion
}
}