public Status UpdateAlgorithmSettings([FromBody] SettingsAlgorithmModel settings)
{
if (GeneticAlgorithm.Instance().Status.Running ||
GeneticAlgorithm.Instance().Status.StopRequested)
{
return(GeneticAlgorithm.Instance().Status);
}
// basic algorithm settings
var model = new GePrModel.Builder()
.SetAdditionalAnalytics(BpmAnalytics.Instance())
.SetEnableAnalytics(true)
.SetFitness(typeof(BpmnFitness))
.SetGenerationEvolver(new BpmnGenerationEvolver())
.SetSolutionType(typeof(BpmSolution))
.SetUseParalell(true)
.SetCrossoverProbability(settings.CrossoverProbability)
.SetInitialGenome(settings.ToIGenome())
.SetMaximumNumberOfGenerations(settings.MaximumNumberOfGenerations)
.SetMutationProbability(settings.MutationProbability)
.SetPopulationSize(settings.PopulationSize)
.SetSeed(settings.Seed)
.SetTermination(new IterationTermination(settings.MaximumNumberOfGenerations))
.SetTournamentSize(settings.TournamentSize)
.Build();
ModelHelper.SetGePrModel(model);
GeneticAlgorithm.Instance().SetModel(model);
return(GeneticAlgorithm.Instance().Status);
}
public JArray ValidGenomes([FromUri] int generation)
{
var array = BpmAnalytics.Instance().ValidGenomes();
array = array.GetLast(generation);
return(new JArray(array));
}
public JObject GetNumberOfEvolvedGenerations()
{
var evo = new JObject();
evo.Add("max", ModelHelper.GetGePrModel().GetMaximumNumberOfGenerations());
evo.Add("current", BpmAnalytics.Instance().GetNumberOfEvolvedGenerations());
return(evo);
}
public Status Start()
{
if ((GeneticAlgorithm.Instance().Status.Ready || GeneticAlgorithm.Instance().Status.Stopped) &&
DataHelper.ActivityHelper.Instance().Models.Count > 0)
{
BpmAnalytics.Instance().Clear();
ModelHelper.GetGePrModel().GetTermination().Reset();
GeneticAlgorithm.Instance().Reset(ModelHelper.GetGePrModel());
GeneticAlgorithm.StartInNewTask();
return(GeneticAlgorithm.Instance().Status);
}
return(GeneticAlgorithm.Instance().Status);
}
public JObject Fitness([FromUri] int generation)
{
var minArray = BpmAnalytics.Instance().MinFitness();
minArray = minArray.GetLast(generation);
var avgArray = BpmAnalytics.Instance().AvgFitness();
avgArray = avgArray.GetLast(generation);
var maxArray = BpmAnalytics.Instance().MaxFitness();
maxArray = maxArray.GetLast(generation);
var jObject = new JObject();
jObject.Add("min", new JArray(minArray));
jObject.Add("avg", new JArray(avgArray));
jObject.Add("max", new JArray(maxArray));
return(jObject);
}
public HttpResponseMessage GetBestSolution()
{
var bestSolution = BpmAnalytics.Instance().BestSolution();
var response = new HttpResponseMessage(HttpStatusCode.OK);
var accept = Request.Headers
.GetValues("Accept")
.FirstOrDefault();
if (!string.IsNullOrEmpty(accept) &&
accept.ToLower().Contains("application/xml") &&
bestSolution != null)
{
response.Content = new StringContent(
XmlHelper.BpmnToXml(bestSolution.Process.ParseBpmGenome()).OuterXml, Encoding.UTF8,
"application/xml");
return(response);
}
return(Request.CreateResponse(HttpStatusCode.OK,
bestSolution));
}
public IEnumerable <BpmSolution> TopSolutions()
{
return(BpmAnalytics.Instance().GetTopSolutions(10));
}
public IEnumerable <BpmSolution> All()
{
return(BpmAnalytics.Instance().GetAll());
}
