public void Selection_TournamentSizeSameAsPopulation_TwoBestFittedChromosomes()
{
var population = new List <IChromosome <decimal> >();
var chromosome1 = new Chromosome <decimal>(new IGene <decimal>[] { new Gene <decimal>(new [] { 1.2m, 1.3m }, 0.1m),
new Gene <decimal>(new [] { 1.3m, 1.5m }, 0.1m) });
chromosome1.FintnessValue = 90;
var chromosome2 = new Chromosome <decimal>(new IGene <decimal>[] { new Gene <decimal>(new [] { 2.2m, 2.3m }, 0.1m),
new Gene <decimal>(new [] { 2.3m, 2.5m }, 0.1m) });
chromosome2.FintnessValue = 80;
var chromosome3 = new Chromosome <decimal>(new IGene <decimal>[] { new Gene <decimal>(new [] { 3.2m, 3.3m }, 0.1m),
new Gene <decimal>(new [] { 3.3m, 3.5m }, 0.1m) });
chromosome3.FintnessValue = 70;
population.Add(chromosome1);
population.Add(chromosome2);
population.Add(chromosome3);
var selector = new TournamentSelection(3);
var result = selector.Selection(population);
Assert.IsTrue(result.Item1.FintnessValue == 90 || result.Item2.FintnessValue == 90);
}
public void Selection_TournamentSize5AndPopulationSize10_BestFittedChromosomes()
{
var population = new List <IChromosome <decimal> >();
for (int i = 0; i < 10; i++)
{
var chromosome = new Chromosome <decimal>(new IGene <decimal>[] { new Gene <decimal>(new [] { i + .2m, i + .3m }, 0.1m),
new Gene <decimal>(new [] { i + .3m, i + .5m }, 0.1m) });
chromosome.FintnessValue = 5 * i;
population.Add(chromosome);
}
var selector = new TournamentSelection(5);
var selected = selector.Selection(population);
Assert.IsTrue(selected.Item1.FintnessValue > 30 || selected.Item2.FintnessValue > 30);
}