Exemple #1
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        /// <summary>
        /// Ген. Алгоритм
        /// </summary>
        /// <param name="CountSpecies">К-во особей</param>
        /// <param name="_Count_Genes">К-во генов</param>
        /// <param name="_Weight_Genes">Стоимость</param>
        /// <param name="_Price_Genes">Вес</param>
        public cGenAlg(int CountSpecies, int _Count_Genes, int[] _Weight_Genes, int[] _Price_Genes, int _MaxPrice, int _Count_Parent, int _Count_iteration)
        {
            Population      = new cSpecies[CountSpecies];
            Weight_Genes    = _Weight_Genes;
            Price_Genes     = _Price_Genes;
            Count_Genes     = _Count_Genes;
            Count_Parent    = _Count_Parent;
            MaxPrice        = _MaxPrice;
            Count_iteration = _Count_iteration;
            Max             = new int[Count_iteration];
            Average         = new int[Count_iteration];

            //Создаем первую популяцию
            New_GenAlg(CountSpecies);


            for (int i = 0; i < Count_iteration; i++)
            {
                Get_parents(Population, Count_Parent);
                Get_new_population(Parent);
                Max[i]     = Population[0].Weight;
                Average[i] = _Average / Population.Count();
            }

            Sort(Population);
            ResultChild = Population[0];
        }
Exemple #2
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        public cSpecies Mutation(cSpecies _Species)
        {
            cSpecies Species = _Species;
            Random   rnd     = new Random();
            int      i       = rnd.Next(_Species.Gene.Count());

            Species.Gene[i] = (Species.Gene[i]) ? false : true;

            return(Species);
        }
Exemple #3
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 public void  Get_Weight_Price(cSpecies Species, int[] _Weight, int[] _Price)
 {
     Species.Weight = 0;
     Species.Price  = 0;
     for (int i = 0; i < Species.Gene.Count(); i++)
     {
         Species.Weight += (Species.Gene[i]) ? _Weight[i]: 0;
         Species.Price  += (Species.Gene[i]) ? _Price[i] : 0;
     }
 }
Exemple #4
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        public cSpecies New_Species(int Count, int[] _Weight, int[] _Price)
        {
            cSpecies Species = new cSpecies(Count);

            Random rnd = new Random();

            for (int i = 0; i < Count; i++)
            {
                Species.Gene[i] = (rnd.Next(0, 2) == 1) ? true : false;
            }

            Get_Weight_Price(Species, _Weight, _Price);

            return(Species);
        }
Exemple #5
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        /// <summary>
        /// Создать первую популяцию
        /// </summary>
        /// <param name="CountSpecies"></param>
        private void New_GenAlg(int CountSpecies)
        {
            cSpecies Species = new cSpecies(Count_Genes);

            for (int i = 0; i < CountSpecies; i++)
            {
                do
                {
                    Species = Species.New_Species(Count_Genes, Weight_Genes, Price_Genes);
                    if (Species.Price <= MaxPrice)
                    {
                        Population[i] = Species;
                    }
                } while (Population[i] == null);
                Thread.Sleep(20); //Костыли подъехали
            }
        }
Exemple #6
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        private void Get_new_population(cSpecies[] Parent)
        {
            Random rnd = new Random();

            cSpecies[] New_Population = new cSpecies[Population.Count()];
            _Average = 0;

            for (int i = 0; i < Population.Count(); i++)
            {
                do
                {
                    //Выбираем случайных родителей
                    cSpecies Parent1 = Parent[rnd.Next(0, Count_Parent)];
                    cSpecies Parent2 = Parent[rnd.Next(1, Count_Parent)];
                    cSpecies Child   = new cSpecies(Count_Genes);
                    //Собираем новые гены
                    for (int j = 0; j < Count_Genes; j++)
                    {
                        if (j % 2 == 0)
                        {
                            Child.Gene[j] = Parent1.Gene[j];
                        }
                        else
                        {
                            Child.Gene[j] = Parent2.Gene[j];
                        }
                    }

                    int r = rnd.Next(0, 100);
                    if (r < 10)
                    {
                        Child = Child.Mutation(Child);
                    }

                    Child.Get_Weight_Price(Child, Weight_Genes, Price_Genes);
                    if (Child.Price <= MaxPrice)
                    {
                        New_Population[i] = Child;
                    }
                } while (New_Population[i] == null);
                _Average += New_Population[i].Weight;
            }
            Population = New_Population;
        }