#pragma warning disable CS0436 // Type conflicts with imported type
/// <summary>
/// Perform migration between two populations.
/// </summary>
///
/// <param name="anotherPopulation">Population to do migration with.</param>
/// <param name="numberOfMigrants">Number of chromosomes from each population to migrate.</param>
/// <param name="migrantsSelector">Selection algorithm used to select chromosomes to migrate.</param>
///
/// <remarks><para>The method performs migration between two populations - current and the
/// <paramref name="anotherPopulation">specified one</paramref>. During migration
/// <paramref name="numberOfMigrants">specified number</paramref> of chromosomes is choosen from
/// each population using <paramref name="migrantsSelector">specified selection algorithms</paramref>
/// and put into another population replacing worst members there.</para></remarks>
///
public void Migrate(Population anotherPopulation, int numberOfMigrants, ISelectionMethod migrantsSelector)
#pragma warning restore CS0436 // Type conflicts with imported type
{
int currentSize = this.size;
int anotherSize = anotherPopulation.Size;
// create copy of current population
List <IChromosome> currentCopy = new List <IChromosome>( );
for (int i = 0; i < currentSize; i++)
{
currentCopy.Add(population[i].Clone( ));
}
// create copy of another population
List <IChromosome> anotherCopy = new List <IChromosome>( );
for (int i = 0; i < anotherSize; i++)
{
anotherCopy.Add(anotherPopulation.population[i].Clone( ));
}
// apply selection to both populations' copies - select members to migrate
migrantsSelector.ApplySelection(currentCopy, numberOfMigrants);
migrantsSelector.ApplySelection(anotherCopy, numberOfMigrants);
// sort original populations, so the best chromosomes are in the beginning
population.Sort( );
anotherPopulation.population.Sort( );
// remove worst chromosomes from both populations to free space for new members
population.RemoveRange(currentSize - numberOfMigrants, numberOfMigrants);
anotherPopulation.population.RemoveRange(anotherSize - numberOfMigrants, numberOfMigrants);
// put migrants to corresponding populations
population.AddRange(anotherCopy);
anotherPopulation.population.AddRange(currentCopy);
// find best chromosomes in each population
FindBestChromosome( );
anotherPopulation.FindBestChromosome( );
}
/// <summary>
/// Perform migration between two populations.
/// </summary>
///
/// <param name="anotherPopulation">Population to do migration with.</param>
/// <param name="numberOfMigrants">Number of chromosomes from each population to migrate.</param>
/// <param name="migrantsSelector">Selection algorithm used to select chromosomes to migrate.</param>
///
/// <remarks><para>The method performs migration between two populations - current and the
/// <paramref name="anotherPopulation">specified one</paramref>. During migration
/// <paramref name="numberOfMigrants">specified number</paramref> of chromosomes is choosen from
/// each population using <paramref name="migrantsSelector">specified selection algorithms</paramref>
/// and put into another population replacing worst members there.</para></remarks>
///
public void Migrate( Population anotherPopulation, int numberOfMigrants, ISelectionMethod migrantsSelector )
{
int currentSize = this.size;
int anotherSize = anotherPopulation.Size;
// create copy of current population
List<IChromosome> currentCopy = new List<IChromosome>( );
for ( int i = 0; i < currentSize; i++ )
{
currentCopy.Add( population[i].Clone( ) );
}
// create copy of another population
List<IChromosome> anotherCopy = new List<IChromosome>( );
for ( int i = 0; i < anotherSize; i++ )
{
anotherCopy.Add( anotherPopulation.population[i].Clone( ) );
}
// apply selection to both populations' copies - select members to migrate
migrantsSelector.ApplySelection( currentCopy, numberOfMigrants );
migrantsSelector.ApplySelection( anotherCopy, numberOfMigrants );
// sort original populations, so the best chromosomes are in the beginning
population.Sort( );
anotherPopulation.population.Sort( );
// remove worst chromosomes from both populations to free space for new members
population.RemoveRange( currentSize - numberOfMigrants, numberOfMigrants );
anotherPopulation.population.RemoveRange( anotherSize - numberOfMigrants, numberOfMigrants );
// put migrants to corresponding populations
population.AddRange( anotherCopy );
anotherPopulation.population.AddRange( currentCopy );
// find best chromosomes in each population
FindBestChromosome( );
anotherPopulation.FindBestChromosome( );
}
