遗传算法实现自动组卷、随机抽题代码,CSharp代码库,德仔网

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【CSharp】遗传算法实现自动组卷、随机抽题
作者:易水寒 / 发布于2013/12/31/ 546
代码

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using System.Windows.Forms;
using System.IO;

namespace GA
{
  public partial class Form1 : Form
  {
    TTm[] TP;
    int _ts = 0;
    int n = 10;
    int m = 12;
    int Pc = 50; //杂交的概率
    int Pm = 80; //变异的概率
    decimal _nd = 2;
    int[] Fs = { 2, 2, 2, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 10, 10, 10, 10, 15, 15, 15, 15, 15, 20, 20, 20, 20 }; //题目分数
    int[] Nd = { 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5 }; //题目难度
    public Form1()
    {
      InitializeComponent();
    }

    private void button1_Click(object sender, EventArgs e)
    {
      n = Fs.Length;
      m = Fs.Length;
      TP = new TTm[n];
      var P = TP;
      int E, t;
      for (int i = 0; i < n; i++)
      {
        P[i].T = new KT[m];
      }
      Initialize(P);
      if (!textBox4.Text.Equals(""))
        _nd = decimal.Parse(textBox4.Text);
      t = 0;
      E = Evaluate(P);
      decimal _result = 0;
      while (P[E].f < 100 || _ts < 12 || Math.Round((decimal)P[E].nd / _ts, 2) < _nd) //分数小于100或者题数小于12或者难度小于2继续循环
      {
        Crossover(P);//杂交
        Mutation(P);//变异
        E = Evaluate(P);//评估种群
        t = t + 1;
        textBox1.Text = t.ToString();
        textBox2.Text = P[E].f.ToString();
        Print(P[E]);//输出
        if (_ts != 0)
        {
          _result = Math.Round((decimal)P[E].nd / _ts, 2);
          textBox4.Text = _result.ToString();//(P[E].nd /_ts)
        }
        Application.DoEvents();//使程序响应事件，避免假死无法退出现象
        if (P[E].f == 100 && _ts >= 12 && _result >= _nd) //总分等于100并且题数大于等于12并且难度系数大于等于2停止循环
        {
          _ts = 0;
          break;
        }
        Select(P);//择优
      }
    }

    /// <summary>
    /// 初始化种群
    /// </summary>
    /// <param name="P"></param>
    private void Initialize(TTm[] P)
    {
      int i, j, G;
      for (i = 0; i < n; i++)
      {
        for (j = 0; j < m; j++)
        {
          P[i].T[j].Fs = Fs[j];
          P[i].T[j].nd = Nd[j];
          P[i].T[j].Se = 0;
        }
      }
      Random rnd = new Random();
      int temp = rnd.Next(m);
      for (i = 0; i < n; i++)
      {
        G = 0;
        while (Math.Abs(G - 105) > 10 && G < 130)
        {
          if (P[i].T[temp].Se == 0)
          {
            P[i].T[temp].Se = 1;
            G = G + P[i].T[temp].Fs;
            P[i].T[temp].Se = 0;
          }
        }
      }

    }

    /// <summary>
    /// 评估种群
    /// </summary>
    /// <param name="P"></param>
    private int Evaluate(TTm[] P)
    {
      int i, j, G, D = 0, result = 0;
      for (i = 0; i < n; i++)
      {
        G = 0;
        for (j = 0; j < m; j++)
        {
          if (P[i].T[j].Se == 1)
          {
            G = G + P[i].T[j].Fs;
            D = D + P[i].T[j].nd;
          }
        }
        P[i].f = 100 - Math.Abs(G - 100);
        P[i].nd = D;
        if (P[i].f > P[result].f && P[i].nd > P[result].nd)
          result = i;
      }
      return result;
    }

    /// <summary>
    /// 杂交
    /// </summary>
    /// <param name="P"></param>
    private void Crossover(TTm[] P)
    {
      int i = 0, j = 1, k, t;
      Random rnd = new Random();
      while (i < n - 1)
      {
        if (rnd.Next(101) > Pc)
        {
          //for (k = rnd.Next(m); k < m; k++)//一点杂交
          for (k = rnd.Next(m); k <= rnd.Next(m); k++)//两点杂交
          {
            t = P[i].T[k].Se;
            P[i].T[k].Se = P[j].T[k].Se;
            P[j].T[k].Se = t;
          }
        }
        i += 2; j += 1;
      }
    }

    /// <summary>
    /// 变异
    /// </summary>
    /// <param name="P"></param>
    private void Mutation(TTm[] P)
    {
      int i;
      Random rnd = new Random();
      for (i = 0; i < n; i++)
      {
        if (rnd.Next(101) > Pm)
        {
          P[i].T[rnd.Next(m)].Se = Convert.ToInt32(!Convert.ToBoolean(P[i].T[rnd.Next(m)].Se));
        }
      }
    }

    /// <summary>
    /// 择优
    /// </summary>
    /// <param name="P"></param>
    private void Select(TTm[] P)
    {
      int i, j;
      TTm Tm;
      for (i = 0; i < n - 1; i++)  //对种群按优劣排序
      {
        for (j = i + 1; j < n; j++)
        {
          if (P[i].f > P[j].f)
          {
            Tm = P[i];
            P[i] = P[j];
            P[j] = Tm;
          }
        }
      }
      for (i = 0; i <= (n - 1) / 2; i++)  //淘汰50%劣等品种
      {
        P[n - 1 - i] = P[i];
      }
    }

    /// <summary>
    /// 输出
    /// </summary>
    /// <param name="Tm"></param>
    private void Print(TTm Tm)
    {
      string s1, s2;
      int i;
      _ts = 0;
      s1 = "题号：";
      s2 = "分值：";
      for (i = 0; i < m; i++)
      {
        if (Tm.T[i].Se == 1)
        {
          s1 = s1 + (i+1) + " ";
          s2 = s2 + Tm.T[i].Fs + " ";
          _ts++;
        }
      }
      textBox3.Text = s1 + "\r\n" + s2 + "\r\n题数：" + _ts;
    }
  }

  public struct KT
  {
    public int Fs;
    public int nd;
    public int Se;
  }

  public struct TTm
  {
    public KT[] T;
    public int f;
    public int nd;
  }
}
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