public static Population CreateRandomPopulation(List<City> availableCities, int populationSize)
{
Population p = new Population();
for (int i = 0; i < populationSize; i++)
p.Add(Chromosome.CreateRandomChromosome(availableCities));
return p;
}
public void Population_GetBestChromosome()
{
List<City> cities = new List<City>();
cities.Add(new City(1, 1, "A"));
cities.Add(new City(2, 2, "B"));
cities.Add(new City(3, 3, "C"));
cities.Add(new City(4, 4, "D"));
cities.Add(new City(5, 5, "E"));
List<City> cities2 = new List<City>();
cities2.Add(new City(1, 1, "A"));
cities2.Add(new City(5, 5, "B"));
cities2.Add(new City(3, 3, "C"));
cities2.Add(new City(4, 4, "D"));
cities2.Add(new City(2, 2, "E"));
Population p = new Population();
Chromosome c = new Chromosome(cities);
Chromosome c2 = new Chromosome(cities2);
p.Add(c);
p.Add(c2);
Chromosome best = p.GetBestChromosome();
Assert.AreEqual(c, best);
}
public void Population_Create()
{
Population p = new Population();
Assert.IsNotNull(p.Chromosomes);
Assert.AreEqual<int>(0, p.Chromosomes.Count);
}
private Population GenerateNewGeneration(int populationSize, Population pop)
{
currentGeneration = currentGeneration + 1;
Population nextGeneration = new Population();
for (int i = 0; i < populationSize; i++)
{
ChromosomePair parents = GetHighestRankedChromosomes(pop.Chromosomes);
Chromosome child;
if (ShouldPerformCrossover())
child = parents.CreateCrossoverChild();
else
child = parents.CreateChild();
if (ShouldMutate())
child.Mutate();
nextGeneration.Add(child);
}
if (currentGeneration < generations)
nextGeneration = GenerateNewGeneration(populationSize, nextGeneration);
return nextGeneration;
}
public void Population_AddChromoSome()
{
List<City> cities = new List<City>();
cities.Add(new City(1, 1, "A"));
Population p = new Population();
Chromosome c = new Chromosome(cities);
p.Add(c);
Assert.AreEqual(c, p.Chromosomes[0]);
}
public Population elite(int n)
{
List<Tour> best = new List<Tour>();
Population tmp = new Population(p);
for (int i = 0; i < n; ++i)
{
best.Add( tmp.findBest() );
tmp = new Population( tmp.p.Except(best).ToList() );
}
return new Population(best);
}
