public void AddTermination_Null_Exception() { var target = new OrTermination(); ExceptionAssert.IsThrowing(new ArgumentNullException("termination"), () => { target.AddTermination(null); }); }
public void HasReached_LessThan2Terminations_Exception() { var target = new OrTermination(); target.AddTermination(MockRepository.GenerateMock<ITermination>()); ExceptionAssert.IsThrowing(new InvalidOperationException("The OrTermination needs at least 2 terminations to perform. Please, add the missing terminations."), () => { target.HasReached(MockRepository.GenerateMock<IGeneticAlgorithm>()); }); }
public void HasReached_OnlyOneTerminationsHasReached_True() { var target = new OrTermination(); var ga = MockRepository.GenerateMock<IGeneticAlgorithm>(); var t1 = MockRepository.GenerateMock<ITermination>(); t1.Expect(t => t.HasReached(ga)).IgnoreArguments().Return(false); target.AddTermination(t1); var t2 = MockRepository.GenerateMock<ITermination>(); t2.Expect(t => t.HasReached(ga)).IgnoreArguments().Return(true); target.AddTermination(t2); var t3 = MockRepository.GenerateMock<ITermination>(); t3.Expect(t => t.HasReached(ga)).IgnoreArguments().Return(false); target.AddTermination(t3); Assert.IsTrue(target.HasReached(ga)); }
public void ToString_NoArgs_State() { var t1 = new AndTermination(); var t2 = new OrTermination(); var t3 = new AndTermination(); var target = new AndTermination(t1, t2, t3); Assert.AreEqual("AndTermination (AndTermination (), OrTermination (), AndTermination ())", target.ToString()); }
private IList<CheckersMove> GetNewMoves () { int attempts = m_maxMoveAttempts; var termination = new OrTermination ( new FitnessStagnationTermination (10), new AndTermination ( new FitnessThresholdTermination (0.1), new GenerationNumberTermination (GA.GenerationsNumber + 20) ) ); GA.Termination = termination; Debug.Log ("Running GA..."); if (GA.State == GeneticAlgorithmState.NotStarted) { GA.Start (); } else { GA.Resume (); } Debug.Log ("Fitness: " + GA.BestChromosome.Fitness); Debug.Log ("Generations: " + GA.GenerationsNumber); if (GA.BestChromosome.Fitness <= 0) { Debug.LogError ("Lower than zero."); } attempts--; if (GA.BestChromosome.Fitness == 0) { HudController.IsGameOver = true; } return (GA.BestChromosome as CheckersChromosome).Moves; }
public IHttpActionResult Generuj(DateTime poczatek, DateTime koniec, int naGodzine) { User = System.Web.HttpContext.Current.User; int user; int.TryParse(((ClaimsIdentity)User.Identity).Claims.First(c => c.Type == "Id").Value, out user); ((ClaimsIdentity)User.Identity).Claims.First(c => c.Type == "Admin"); if (((ClaimsIdentity)User.Identity).Claims.First(c => c.Type == "Admin").Value == "false") { return(Content(HttpStatusCode.Forbidden, "Brak uprawnień do wykonania zadania!")); } Models.Grafik grafik = null; try { if (TRWA_GENEROWANIE) { return(Content(HttpStatusCode.Conflict, "Trwa Generowanie")); } TRWA_GENEROWANIE = true; Models.DataBaseEntities db = new Models.DataBaseEntities(); List <Models.Pracownik> pracownicy = db.Pracownik.Where(p => p.GodzinWUmowie > 0 && p.StanowiskoPracownika.Count() > 0).ToList(); List <Models.Stanowisko> stanowiska = db.Stanowisko.Where(s => s.StanowiskoPracownika.Count() > 0).ToList(); // 1 bit dla czy w pracy // pozostale numer stanowiska int dlugoscKodonu = (int)Math.Round(Math.Log(stanowiska.Count(), 2), 0, MidpointRounding.AwayFromZero); int iloscPrzedzialow = (int)Math.Round(koniec.Subtract(poczatek).TotalHours *naGodzine, 0, MidpointRounding.AwayFromZero) * naGodzine; double przedzial = 60 / naGodzine; List <double> genMin = new List <double>(); List <double> genMax = new List <double>(); List <int> genBits = new List <int>(); List <int> genDecimal = new List <int>(); for (int i = 0; i < iloscPrzedzialow * pracownicy.Count(); i++) { genMin.Add(0); genMin.Add(0); genMax.Add(1); genMax.Add(stanowiska.Count() - 1); genBits.Add(1); genBits.Add(dlugoscKodonu); genDecimal.Add(0); genDecimal.Add(0); } var selection = new EliteSelection(); //var selection = new TournamentSelection(100, true); var crossover = new UniformCrossover(0.5f); //var crossover = new ThreeParentCrossover(); //var mutation = new ReverseSequenceMutation(); var mutation = new FlipBitMutation(); //var mutation = new UniformMutation(false); var fitness = new OcenaGrafiku(pracownicy, stanowiska, naGodzine, poczatek, koniec); var termination = new GeneticSharp.Domain.Terminations.OrTermination( new FitnessStagnationTermination(1000), new FitnessThresholdTermination(0), new TimeEvolvingTermination(new TimeSpan(0, 5, 0))); var chromosome = new FloatingPointChromosome(genMin.ToArray(), genMax.ToArray(), genBits.ToArray(), genDecimal.ToArray()); var population = new Population(1000, 10000, chromosome); var ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation); ga.Termination = termination; ga.MutationProbability = 0.20f; ga.Start(); var wynik = (ga.BestChromosome as FloatingPointChromosome).ToFloatingPoints(); double?x = (ga.BestChromosome as FloatingPointChromosome).Fitness; DateTime czas = poczatek; grafik = new Models.Grafik(); grafik.Poczatek = poczatek; grafik.Koniec = koniec; db.Grafik.Add(grafik); int j = 0; while (czas < koniec) { Models.Czas cz = new Models.Czas(); foreach (Models.Pracownik pr in pracownicy) { if (wynik[j] == 1) { Models.PracownikNaStanowisku pns = new Models.PracownikNaStanowisku(); pns.Pracownik = pr; pns.Stanowisko = stanowiska[(int)wynik[j + 1] % stanowiska.Count()]; pns.Czas = cz; db.PracownikNaStanowisku.Add(pns); } j += 2; } if (cz.PracownikNaStanowisku.Count() > 0) { cz.Grafik = grafik; cz.Poczatek = czas; cz.Koniec = czas.AddMinutes(przedzial); db.Czas.Add(cz); } czas = czas.AddMinutes(przedzial); } db.SaveChanges(); } catch (Exception ex) { return(Content(HttpStatusCode.InternalServerError, ex.ToString())); } TRWA_GENEROWANIE = false; return(Ok(grafik.Id)); }