public WAPPopulation(int size, WAPChromosome ancestor, IFitnessFunction Func, ISelectionMethod sel)
: base(size, ancestor, Func, sel)
{
AddAlternativeRate = 0.01;
DropConditionRate = 0.6;
rand = new Random();
parallelism = false;
epoch = 0;
}
static void Main(string[] args)
{
try
{
int numLines = 1473;
int maxIter = 1500;
int[][] examples = new int[numLines][];
readFile("cmc.data", examples);
IFitnessFunction f = new FitnessFunction(examples, true);
int method = 0, best_method = method;
ISelectionMethod[] methods = new ISelectionMethod[]{new RouletteWheelSelection(), new RankSelection(), new EliteSelection()};
WAPChromosome c = new WAPChromosome(5 * 44);
WAPChromosome legend = c;
legend.Evaluate(f);
double bestMR = 0, bestSP = 0, bestDC = 0, bestAA = 0;
WAPPopulation pop = new WAPPopulation(100, c, f, methods[0]);
pop.parallelism = true;
Random rand = new Random();
while (true)
{
pop.RandomSelectionPortion = rand.NextDouble() * 0.7;
pop.MutationRate = 0.1 + rand.NextDouble() * 0.3;
pop.SelectionMethod = methods[method];
pop.DropConditionRate = rand.NextDouble() * 0.5;
pop.AddAlternativeRate = rand.NextDouble() * 0.5;
method = (method + 1) % methods.Length;
Console.WriteLine("Entrenando: Metodo:{0}, DC:{1}, AA:{2}, SP:{3}, MR:{4}", method, pop.DropConditionRate, pop.AddAlternativeRate, pop.RandomSelectionPortion, pop.MutationRate);
pop.Regenerate();
for (int i = 0; i < maxIter; i++)
{
pop.RunEpoch();
int prom = 0;
for (int j = 0; j < pop.Size; j++)
prom += ((WAPChromosome)pop[j]).numRules;
prom = prom / pop.Size;
//Console.WriteLine("Generacion {0} Mejor Fitness {1} prom: {2}, reglas:{3}", i, pop.BestChromosome.Fitness, pop.FitnessAvg, prom);
if (pop.BestChromosome.Fitness > legend.Fitness)
{
legend = (WAPChromosome)pop.BestChromosome;
best_method = method; bestAA = pop.AddAlternativeRate; bestDC = pop.DropConditionRate;
bestMR = pop.MutationRate; bestSP = pop.RandomSelectionPortion;
}
}
Console.WriteLine("\n\nMejor Cromosoma de la ultima generacion:");
Console.WriteLine("Fitness {0}", pop.BestChromosome.Fitness);
Console.WriteLine("Clasificados {0}", Math.Sqrt(pop.BestChromosome.Fitness) + (double)((WAPChromosome)pop.BestChromosome).numRules / (double)examples.Length / 2.0);
Console.WriteLine("Reglas {0}", ((WAPChromosome)pop.BestChromosome).numRules);
//Console.WriteLine(legend);
Console.WriteLine("\nMejor Cromosoma de todas las generaciones:");
Console.Write("Parm: Metodo:{0}, DC:{1}, AA:{2}, SP:{3}, MR:{4}", best_method, bestDC, bestAA, bestSP, bestMR);
Console.WriteLine("Fitness {0}", legend.Fitness);
Console.WriteLine("Clasificados {0}", Math.Sqrt(legend.Fitness) + (double)((WAPChromosome)legend).numRules / (double)examples.Length / 2.0);
Console.WriteLine("Reglas {0}", legend.numRules);
Console.WriteLine(legend);
}
}
catch (Exception e)
{
Console.WriteLine(e);
}
}
public override IChromosome CreateNew()
{
WAPChromosome n = new WAPChromosome(length);
return n;
}
public override IChromosome Clone()
{
WAPChromosome r = new WAPChromosome(this);
return r;
}
/* Initializes a new instance of the WAPChromosome class.
* This is a copy constructor, which creates the exact copy of specified chromosome.
*/
protected WAPChromosome(WAPChromosome source)
: base(source)
{
maxValue = source.maxValue;
nRules = source.nRules;
}
public testExamplesContext(WAPChromosome chromosome, int begin, int end)
{
this.chromosome = chromosome; this.begin = begin; this.begin = begin; this.end = end; this.classified = 0;
}