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71
src/GeneticSharp.Extensions.UnitTests/Multiple/MultipleTest.cs
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| @@ -0,0 +1,71 @@ | ||
| using System; | ||
| using System.Collections.Generic; | ||
| using System.Linq; | ||
| using System.Text; | ||
| using GeneticSharp.Domain; | ||
| using GeneticSharp.Domain.Chromosomes; | ||
| using GeneticSharp.Domain.Crossovers; | ||
| using GeneticSharp.Domain.Fitnesses; | ||
| using GeneticSharp.Domain.Mutations; | ||
| using GeneticSharp.Domain.Populations; | ||
| using GeneticSharp.Domain.Selections; | ||
| using GeneticSharp.Domain.Terminations; | ||
| using GeneticSharp.Extensions.Multiple; | ||
| using GeneticSharp.Extensions.Tsp; | ||
| using NUnit.Framework; | ||
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| namespace GeneticSharp.Extensions.UnitTests.Multiple | ||
| { | ||
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| [TestFixture] | ||
| [Category("Extensions")] | ||
| class MultipleTest | ||
| { | ||
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| [Test()] | ||
| public void Evolve_CompareToSingleChromosome_Evolved() | ||
| { | ||
| int numberOfCities = 30; | ||
| var selection = new EliteSelection(); | ||
| var crossover = new UniformCrossover(); | ||
| var mutation = new TworsMutation(); | ||
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| // Given enough generations, the Multiple Chromosome should start exhibiting convergence | ||
| // we compare TSP /25 gen with 3*TSP / 500 gen | ||
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| IChromosome chromosome = new TspChromosome(numberOfCities); | ||
| IFitness fitness = new TspFitness(numberOfCities, 0, 1000, 0, 1000); | ||
| var population = new Population(30, 30, chromosome); | ||
| var ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation) | ||
| { | ||
| Termination = new GenerationNumberTermination(26) | ||
| }; | ||
| ga.Start(); | ||
| var simpleChromosomeDistance = ((TspChromosome)ga.Population.BestChromosome).Distance; | ||
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| chromosome = new MultipleChromosome((i) => new TspChromosome(numberOfCities), 3); | ||
| //MultiChromosome should create 3 TSP chromosomes and store them in the corresponding property | ||
| Assert.AreEqual(((MultipleChromosome)chromosome).Chromosomes.Count, 3); | ||
| var tempMultiFitness = ((MultipleChromosome)chromosome).Chromosomes.Sum(c => fitness.Evaluate(c)); | ||
| fitness = new MultipleFitness(fitness); | ||
| //Multi fitness should sum over the fitnesses of individual chromosomes | ||
| Assert.AreEqual(tempMultiFitness, fitness.Evaluate(chromosome)); | ||
| population = new Population(30, 30, chromosome); | ||
| ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation) | ||
| { | ||
| Termination = new GenerationNumberTermination(501) | ||
| }; | ||
| ga.Start(); | ||
| var bestTSPChromosome = (TspChromosome)((MultipleChromosome)ga.Population.BestChromosome).Chromosomes | ||
| .OrderByDescending(c => c.Fitness).First(); | ||
| var multiChromosomesDistance = bestTSPChromosome.Distance; | ||
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| Assert.Less(multiChromosomesDistance, simpleChromosomeDistance); | ||
| } | ||
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| } | ||
| } |
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