/// <summary>
/// Called before every test.
/// </summary>
protected override void InitializeDefault()
{
base.InitializeDefault();
this._completeConfiguration = LocalDifferentialEvolutionInformationFlowTest.CreateConfiguration(replacementRate: 0.25);
this._deConfiguration =
this._completeConfiguration.ExtractDetailedConfiguration <DifferentialEvolutionStrategyConfiguration>(
DifferentialEvolutionStrategyArgumentParser.Identifier);
var root = new AndNode();
root.AddChild(new ValueNode <int>(ExtractIntegerValue.ParameterName, new IntegerDomain(-1, 3)));
root.AddChild(new ValueNode <int>("quasi-continuous", new IntegerDomain(0, this._deConfiguration.MinimumDomainSize + 1)));
this._parameterTree = new ParameterTree(root);
this._genomeBuilder = new GenomeBuilder(this._parameterTree, this._completeConfiguration);
}
public void DefineCompetitivePopulationThrowsForIncumbentChangeOnlyWithoutIncumbent()
{
// Create configuration with a replacement rate of 0.
this._completeConfiguration = LocalDifferentialEvolutionInformationFlowTest.CreateConfiguration(replacementRate: 0);
this._deConfiguration =
this._completeConfiguration.ExtractDetailedConfiguration <DifferentialEvolutionStrategyConfiguration>(
DifferentialEvolutionStrategyArgumentParser.Identifier);
var informationFlow = new LocalDifferentialEvolutionInformationFlow(
this._deConfiguration,
this._parameterTree,
this._genomeBuilder);
// Call defineCompetitivePopulation without an incumbent.
Assert.Throws <ArgumentNullException>(
() => informationFlow
.DefineCompetitivePopulation(
originalCompetitives: this.CreateRandomGenomes(number: 6).ToList(),
originalIncumbent: null,
mostRecentSorting: this.CreateRandomSearchPoints())
.ToList());
}
public void DefineCompetitivePopulationWorksForIncumbentChangeOnly()
{
// Create configuration with a replacement rate of 0.
this._completeConfiguration = LocalDifferentialEvolutionInformationFlowTest.CreateConfiguration(replacementRate: 0);
this._deConfiguration =
this._completeConfiguration.ExtractDetailedConfiguration <DifferentialEvolutionStrategyConfiguration>(
DifferentialEvolutionStrategyArgumentParser.Identifier);
var informationFlow = new LocalDifferentialEvolutionInformationFlow(
this._deConfiguration,
this._parameterTree,
this._genomeBuilder);
// Create a competitive population which contains the same genome twice.
var originalCompetitives = this.CreateRandomGenomes(number: 6).ToList();
var incumbent = originalCompetitives[3];
originalCompetitives.Add(new Genome(incumbent));
Assert.Equal(
2,
originalCompetitives.Count(individual => new Genome.GeneValueComparator().Equals(individual, incumbent)));
// Call define competitive population with some search points.
var searchPoints = this.CreateRandomSearchPoints();
var updatedCompetitives = informationFlow.DefineCompetitivePopulation(
originalCompetitives,
incumbent,
searchPoints);
// Best point should now replace incumbent in competitive population.
var expectedCompetitives = originalCompetitives
.Select(genome => genome.ToString())
.ToList();
expectedCompetitives.Remove(incumbent.ToString());
expectedCompetitives.Add(new Genome(searchPoints[0].Genome.CreateMutableGenome(), incumbent.Age).ToString());
Assert.Equal(
expectedCompetitives.OrderBy(x => x).ToArray(),
updatedCompetitives.Select(genome => genome.ToString()).OrderBy(x => x).ToArray());
}