public void TestCompare()
{
BasicGenome genome1 = new IntegerArrayGenome(1);
genome1.AdjustedScore = 10;
genome1.Score = 4;
BasicGenome genome2 = new IntegerArrayGenome(1);
genome2.AdjustedScore = 4;
genome2.Score = 10;
MinimizeAdjustedScoreComp comp = new MinimizeAdjustedScoreComp();
Assert.IsTrue(comp.Compare(genome1, genome2) > 0);
}
public void TestCompare()
{
BasicGenome genome1 = new IntegerArrayGenome(1);
genome1.AdjustedScore = 10;
genome1.Score = 4;
BasicGenome genome2 = new IntegerArrayGenome(1);
genome2.AdjustedScore = 4;
genome2.Score = 10;
MinimizeAdjustedScoreComp comp = new MinimizeAdjustedScoreComp();
Assert.IsTrue(comp.Compare(genome1, genome2) > 0);
}
public void TestShouldMinimize()
{
MinimizeAdjustedScoreComp comp = new MinimizeAdjustedScoreComp();
Assert.IsTrue(comp.ShouldMinimize);
}
public void TestIsBetterThan()
{
MinimizeAdjustedScoreComp comp = new MinimizeAdjustedScoreComp();
Assert.IsTrue(comp.IsBetterThan(10, 20));
}
public void TestApplyPenalty()
{
MinimizeAdjustedScoreComp comp = new MinimizeAdjustedScoreComp();
Assert.AreEqual(11, comp.ApplyPenalty(10, 0.1), EncogFramework.DefaultDoubleEqual);
}
public void TestApplyPenalty()
{
MinimizeAdjustedScoreComp comp = new MinimizeAdjustedScoreComp();
Assert.AreEqual(11, comp.ApplyPenalty(10, 0.1), EncogFramework.DefaultDoubleEqual);
}
public void TestShouldMinimize()
{
MinimizeAdjustedScoreComp comp = new MinimizeAdjustedScoreComp();
Assert.IsTrue(comp.ShouldMinimize);
}
public void TestIsBetterThan()
{
MinimizeAdjustedScoreComp comp = new MinimizeAdjustedScoreComp();
Assert.IsTrue(comp.IsBetterThan(10, 20));
}
/// <summary>
/// Construct an EA.
/// </summary>
/// <param name="thePopulation">The population.</param>
/// <param name="theScoreFunction">The score function.</param>
public BasicEA(IPopulation thePopulation,
ICalculateScore theScoreFunction)
{
RandomNumberFactory = EncogFramework.Instance.RandomFactory.FactorFactory();
EliteRate = 0.3;
MaxTries = 5;
MaxOperationErrors = 500;
CODEC = new GenomeAsPhenomeCODEC();
Population = thePopulation;
ScoreFunction = theScoreFunction;
Selection = new TournamentSelection(this, 4);
Rules = new BasicRuleHolder();
// set the score compare method
if (theScoreFunction.ShouldMinimize)
{
SelectionComparer = new MinimizeAdjustedScoreComp();
BestComparer = new MinimizeScoreComp();
}
else
{
SelectionComparer = new MaximizeAdjustedScoreComp();
BestComparer = new MaximizeScoreComp();
}
// set the iteration
foreach (ISpecies species in thePopulation.Species)
{
foreach (IGenome genome in species.Members)
{
IterationNumber = Math.Max(IterationNumber,
genome.BirthGeneration);
}
}
// Set a best genome, just so it is not null.
// We won't know the true best genome until the first iteration.
if (Population.Species.Count > 0 && Population.Species[0].Members.Count > 0)
{
BestGenome = Population.Species[0].Members[0];
}
}