Exemple #1
0
        public async Task RunAsync()
        {
            var population = new List <Chromosome <T> >();

            foreach (var _ in Enumerable.Range(0, geneticOptions.PopulationSize))
            {
                var chromosome = await geneticAlgorithm.CreateChromosomeAsync();

                population.Add(chromosome);
            }

            var sortedPopulation = population.OrderByDescending(c => c.Fitness);
            var generations      = 1;

            while (sortedPopulation.First().Fitness < geneticOptions.SatisfactoryFitnessValue)
            {
                var elitesToTake = (int)Math.Floor(
                    geneticOptions.PopulationSize * (geneticOptions.ElitismPercentage / 100));
                var newPopulation = sortedPopulation.Take(elitesToTake).ToList();

                ApplyCrossover(sortedPopulation, newPopulation);
                await ApplyMutationAsync(newPopulation);

                sortedPopulation = newPopulation.OrderByDescending(c => c.Fitness);
                generations     += 1;
            }

            var bestChromosome = sortedPopulation.First();

            Console.WriteLine($"Кількість поколінь: {generations}\n");
            Console.WriteLine(outputManager.GetOutput(bestChromosome.Genes));
        }
        public async Task RunAsync()
        {
            await backtrackingAlgorithm.GenerateBasicSolutionAsync();

            var items = new List <T>();

            if (!backtrackingAlgorithm.BacktrackingSearch(items))
            {
                Console.WriteLine("Розв\'язків немає");
            }

            Console.WriteLine(outputManager.GetOutput(items));
        }