gacontrol.cs

c#编写

using System;
using System.Collections.Generic;
using System.Text;
using System.Threading;

namespace GA_RPS.GAKernel
{
    public class GAControl
    {
        public const int ROCK = 0;
        public const int PAPER = 1;
        public const int SCISSOR = 2;

        public static int POP_SIZE = 12;
        public static int POP_NUM = 8;

        public static int SEL_SCALAR = 4;
        public static double MUT_RATIO = 1.0/(double)POP_SIZE;
        public static int ITER_TIME = 10;

        private volatile bool isEvolving = false;

        public bool IsEvolve
        {
            get { return isEvolving; }
            set { isEvolving = value; }
        }

        private Population[] p;

        private int curPop;

        public GAControl()
        {
            p = new Population[POP_NUM];
            curPop = 0;
        }

        public bool gaTrain(int gaMove, int playerMove)
        {
            //autoGA();
            //System.Windows.Forms.MessageBox.Show(Convert.ToString(curPop + 1));
            if (p[curPop] == null)
            {
                p[curPop] = new Population();
            }

            if (!p[curPop].isFull())
            {
                p[curPop].addMember(gaMove, playerMove);
            }

            if (p[curPop].isFull())
            {
                if (curPop < POP_NUM - 1)
                {
                    p[++curPop] = new Population();
                    return false;
                }
                else
                {
                    isEvolving = true;
                    //evolve();
                    return true;
                }
            }
            else
            {
                return false;
            }
        }

        private void autoGA()
        {
            Roulette r = new Roulette();
            for (int i = 0; i < POP_NUM; i++)
            {
                p[i] = new Population();
                while (!p[i].isFull()) p[i].addMember(r.ranRPS(), r.ranRPS());
            }
            evolve();
        }

        public void evolve()
        {
            for (int i = 0; i < ITER_TIME; i++)
            {
                p = new Selection().selectOp(p);
                p = new Crossover().crossOp(p);
                p = new Mutation().mutateOp(p);
            }
            isEvolving = false;
        }

        public int[] newGeneration()
        {
            int[] gen = new int[POP_NUM * POP_SIZE];
            int n = 0;
            foreach (Population c in p)
            {
                for (int i=0;i<POP_SIZE;i++)
                {
                    gen[n++] = c.GaArray[i];
                }
            }
            p = new Population[POP_NUM];
            curPop = 0;
            return gen;
        }
    }
}