Esempio n. 1
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 Fourmis[] selection(Fourmis[] populationFourmis)
 {
     Fourmis[] f = new Fourmis[nbSelect];
     for (int i = 0; i < nbSelect; i++)
     {
         f[i] = populationFourmis[i];
     }
     return(f);
 }
Esempio n. 2
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    public Fourmis mutate()
    {
        string[] label = { "if", "move", "right", "left", "prog2", "prog3" };
        Fourmis  f     = new Fourmis(fDNA.clone());
        Fourmis  a     = new Fourmis(new DNA(label[Random.Range(0, 6)]));

        a.getDNA().createRandom(5);

        f.fDNA.setDnaAt((Random.Range(0, f.fDNA.getSize())), (a.getDNA().clone()));
        f.energy = initEnergy;
        return(f);
    }
Esempio n. 3
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 void sortLastList(Fourmis[] populationFourmis)
 {
     for (int i = nbPopulation - 1; i > 0; i--)
     {
         for (int j = 0; j < i; j++)
         {
             if (populationFourmis[j].getScore() < populationFourmis[j + 1].getScore())
             {
                 Fourmis tmp = populationFourmis[j + 1];
                 populationFourmis[j + 1] = populationFourmis[j];
                 populationFourmis[j]     = tmp;
             }
         }
     }
 }
Esempio n. 4
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    Fourmis[] initiatePopulation()
    {
        Fourmis[] populationFourmis = new Fourmis[nbPopulation];

        for (int i = 0; i < nbPopulation; i++)
        {
            Fourmis a = new Fourmis(new DNA(label[Random.Range(0, 6)]));

            a.getDNA().createRandom(5);
            a.fullProg();
            populationFourmis[i] = a;
        }

        return(populationFourmis);
    }
Esempio n. 5
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    public Fourmis crossOver(Fourmis a)
    {
        Fourmis f = new Fourmis(fDNA.clone());

        Fourmis f1 = new Fourmis(a.getDNA().clone());

        int ind1 = (Random.Range(0, f.fDNA.getSize()));
        //int ind1 = (Random.Range(f.fDNA.getSize()/2, f.fDNA.getSize()));
        //int ind1 = (f.fDNA.getSize()-1);
        // int ind2 = (Random.Range(0, f1.getDNA().getSize()));
        int ind2 = (Random.Range(0, f1.getDNA().getSize()));

        f.fDNA.setDnaAt(ind1, (f1.fDNA.getDnaAt(ind2).clone()));
        f.energy = initEnergy;

        return(f);
    }
Esempio n. 6
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    Fourmis[] crossOver(Fourmis[] populationFourmis, Fourmis[] selectedList)
    {
        Fourmis [] l = new Fourmis[nbPopulation];


        for (int i = 0; i < 10; i++)
        {
            l[i] = (new Fourmis(selectedList[i].getDNA().clone()));
        }
        for (int i = 10; i < nbPopulation; i++)
        {
            l[i] = (selectedList[Random.Range(0, nbSelect)].crossOver(selectedList[Random.Range(0, nbSelect)]));
        }

        //sortList(l);

        return(l);
    }
Esempio n. 7
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    void Start()
    {
        //Random.InitState(3);        // Seed fonctionne pour 9 gene

        //Random.InitState(1);

        for (int i = 0; i < 32; i++)
        {
            for (int j = 0; j < 32; j++)
            {
                if (map[i, j] == 0)
                {
                    GameObject newTile = Instantiate(mapTile);
                    newTile.transform.position = new Vector3(i, j);
                    Tiles[i, j] = newTile;
                }
                else
                {
                    GameObject newTile = Instantiate(mapTile1);
                    newTile.transform.position = new Vector3(i, j);
                    Tiles[i, j] = newTile;
                }
            }
        }
        //List<Fourmis> populationFourmis = new List<Fourmis>();

        Fourmis[] populationFourmis = new Fourmis[nbPopulation];
        populationFourmis = initiatePopulation();
        sortList(populationFourmis);


        for (int i = 0; i < nbGeneration; i++)
        {
            sortList(populationFourmis);
            populationFourmis = crossOver(populationFourmis, selection(populationFourmis));
            mutate(populationFourmis);
            runPopulation(populationFourmis);
        }

        sortLastList(populationFourmis);
        for (int i = 0; i < nbPopulation; i++)
        {
            //  Debug.Log(populationFourmis[i].getScore());
        }



        pF = populationFourmis;

        /*
         * DNA f214 = new DNA("if");
         * DNA f215 = new DNA("move");
         * DNA f216 = new DNA("prog2");
         *
         * DNA f217 = new DNA("right");
         * DNA f218 = new DNA("if");
         * DNA f219 = new DNA("move");
         * DNA f220 = new DNA("prog3");
         * DNA f221 = new DNA("left");
         * DNA f222 = new DNA("left");
         * DNA f223 = new DNA("if");
         * DNA f224 = new DNA("move");
         * DNA f225 = new DNA("prog2");
         * DNA f226 = new DNA("right");
         * DNA f227 = new DNA("move");
         *
         * DNA[] tab = new DNA[2];
         * tab[0] = f215;
         * tab[1] = f216;
         *
         * f214.setChild(tab);
         *
         * DNA[] tab1 = new DNA[2];
         * tab1[0] = f217;
         * tab1[1] = f218;
         *
         *
         * f216.setChild(tab1);
         *
         * DNA[] tab2 = new DNA[2];
         * tab2[0] = f219;
         * tab2[1] = f220;
         *
         * f218.setChild(tab2);
         *
         * DNA[] tab3 = new DNA[3];
         * tab3[0] = f221;
         * tab3[1] = f222;
         * tab3[2] = f223;
         *
         *
         * f220.setChild(tab3);
         *
         * DNA[] tab4 = new DNA[2];
         * tab4[0] = f224;
         * tab4[1] = f225;
         *
         *
         * f223.setChild(tab4);
         *
         * DNA[] tab5 = new DNA[2];
         * tab5[0] = f226;
         * tab5[1] = f227;
         *
         *
         * f225.setChild(tab5);
         *
         * //pF.Add(new Fourmis(f214));
         * //pF[0].fullProg();
         * DNA f228 = new DNA("if");
         * f228.createRandom(3);
         *
         * Fourmis f1 = new Fourmis(f214);
         * Fourmis f2 = new Fourmis(f228);
         * f1.crossOver(f2);
         */
    }