Beispiel #1
0
  public static void Update_Generation(aCitizen New_Citizen) {
    int Max_Index = Heap_Max.Find_First_Best();

    if (New_Citizen.nAttacks < Citizen[Max_Index].nAttacks) {
      Heap_Min.Pop(Heap_Min.pos[Max_Index]);
      Heap_Max.Pop(Heap_Max.pos[Max_Index]);

      Citizen[Max_Index].Assign(New_Citizen);

      Heap_Min.Push(Citizen[Max_Index].nAttacks, Max_Index);
      Heap_Max.Push(Citizen[Max_Index].nAttacks, Max_Index);
    }
  }
Beispiel #2
0
  public static void Genetic_Algorithm() {
    int nGenerations = 0;
    result = new aCitizen(N);

    while (true) {
      nGenerations++;
      System.out.println("\nGeneration " + nGenerations);

      int index1 = Heap_Min.Find_First_Best();

      System.out.println("Minimum of attacking: " + Citizen[index1].nAttacks);
      if (Citizen[index1].nAttacks == 0) {
        found = true;
        result = Citizen[index1];
        break;
      }

      int index2 = Heap_Min.Find_Second_Best();
      Update_Generation(index1, index2);

      while (true) {
        index1 = Random_Int(Population);
        index2 = Random_Int(Population);
        if (index1 != index2) break;
      }
      Update_Generation(index1, index2);

      index1 = Heap_Min.Find_First_Best();
      index2 = Heap_Max.Find_Second_Best();
      Update_Generation(index1, index2);

      if (nGenerations == Max_nGenerations) break;
    }

    result = Citizen[Heap_Min.Find_First_Best()];
  }