示例#1
0
 static void Main(string[] args)
 {
     DoubleArrayChromosome weightValues = new DoubleArrayChromosome(new WeightRandomGenerator(),  new WeightRandomGenerator(), new WeightRandomGenerator(),6);
     Population weightPop = new Population(40, weightValues, new AriesFF(), new EliteSelection());
     int counter = 0;
     bool stopEvo = false;
     AriesFF fintessEval = new AriesFF();
     double error = 0;
     while (!stopEvo)
     {
         weightPop.RunEpoch();
         counter++;
         IChromosome best = weightPop.BestChromosome;
         error = fintessEval.Evaluate(best);
         stopEvo = counter > 1000 || error < 0.12;
     }
     Console.WriteLine("Stopped after " + counter.ToString());
     DoubleArrayChromosome solution = (DoubleArrayChromosome)weightPop.BestChromosome;
     Console.WriteLine(solution.ToString());
     Console.ReadKey();
 }
示例#2
0
        static void Main(string[] args)
        {
            DoubleArrayChromosome weightValues = new DoubleArrayChromosome(new WeightRandomGenerator(), new WeightRandomGenerator(), new WeightRandomGenerator(), 6);
            Population            weightPop    = new Population(40, weightValues, new AriesFF(), new EliteSelection());
            int     counter     = 0;
            bool    stopEvo     = false;
            AriesFF fintessEval = new AriesFF();
            double  error       = 0;

            while (!stopEvo)
            {
                weightPop.RunEpoch();
                counter++;
                IChromosome best = weightPop.BestChromosome;
                error   = fintessEval.Evaluate(best);
                stopEvo = counter > 1000 || error < 0.12;
            }
            Console.WriteLine("Stopped after " + counter.ToString());
            DoubleArrayChromosome solution = (DoubleArrayChromosome)weightPop.BestChromosome;

            Console.WriteLine(solution.ToString());
            Console.ReadKey();
        }