public EvoResults Evolve(IEnumerable <double[]> initialPopulation)
{
EvoResults results = new EvoResults()
{
Generations = new GenerationResults[Generations]
};
Individual[] pop = new Individual[Parents + Children];
for (int i = 0; i < initialPopulation.Count(); i++)
{
pop[i] = new Individual()
{
Fitness = 0, Genome = initialPopulation.ElementAt(i)
}
}
;
for (int i = initialPopulation.Count(); i < pop.Length; i++)
{
pop[i] = new Individual()
{
Fitness = 0, Genome = createChild(pop[i % initialPopulation.Count()].Genome)
}
}
;
for (int curGen = 0; curGen < Generations; curGen++)
{
Console.WriteLine("Generation #{0}", curGen);
FitnessFunction.Evaluate(pop);
Array.Sort(pop, delegate(Individual ind1, Individual ind2)
{
int compare = ind2.Fitness.CompareTo(ind1.Fitness);
return(compare);
});
if (pop[0].Fitness < pop[1].Fitness)
{
throw new Exception("Sorted the wrong way!");
}
GenerationResults gen = new GenerationResults()
{
Champion = new double[pop[0].Genome.Length],
Fitness = pop[0].Fitness
};
pop[0].Genome.CopyTo(gen.Champion, 0);
results.Generations[curGen] = gen;
for (int i = Parents; i < pop.Length; i++)
{
createChild(pop[i % Parents].Genome, pop[i].Genome);
}
}
return(results);
}
public EvoResults Evolve(IEnumerable<double[]> initialPopulation)
{
EvoResults results = new EvoResults() { Generations = new GenerationResults[Generations] };
Individual[] pop = new Individual[Parents + Children];
for (int i = 0; i < initialPopulation.Count(); i++)
pop[i] = new Individual() { Fitness = 0, Genome = initialPopulation.ElementAt(i) };
for (int i = initialPopulation.Count(); i < pop.Length; i++)
pop[i] = new Individual() { Fitness = 0, Genome = createChild(pop[i%initialPopulation.Count()].Genome)};
for (int curGen = 0; curGen < Generations; curGen++)
{
Console.WriteLine("Generation #{0}", curGen);
FitnessFunction.Evaluate(pop);
Array.Sort(pop, delegate(Individual ind1, Individual ind2)
{
int compare = ind2.Fitness.CompareTo(ind1.Fitness);
return compare;
});
if (pop[0].Fitness < pop[1].Fitness)
throw new Exception("Sorted the wrong way!");
GenerationResults gen = new GenerationResults()
{
Champion = new double[pop[0].Genome.Length],
Fitness = pop[0].Fitness
};
pop[0].Genome.CopyTo(gen.Champion, 0);
results.Generations[curGen] = gen;
for (int i = Parents; i < pop.Length; i++)
createChild(pop[i % Parents].Genome, pop[i].Genome);
}
return results;
}