#region License Information /* HeuristicLab * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.Drawing; using System.Linq; using System.Threading; using Google.ProtocolBuffers; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence; namespace HeuristicLab.Problems.ExternalEvaluation { [Item("External Evaluation Problem (multi-objective)", "A multi-objective problem that is evaluated in a different process.")] [Creatable(CreatableAttribute.Categories.ExternalEvaluationProblems, Priority = 200)] [StorableType("1fe3556f-ef0d-4443-a51b-4ec5f5d5a2bf")] public class MultiObjectiveExternalEvaluationProblem : MultiObjectiveBasicProblem, IExternalEvaluationProblem { public static new Image StaticItemImage { get { return HeuristicLab.Common.Resources.VSImageLibrary.Type; } } #region Parameters public OptionalValueParameter CacheParameter { get { return (OptionalValueParameter)Parameters["Cache"]; } } public IValueParameter> ClientsParameter { get { return (IValueParameter>)Parameters["Clients"]; } } public IValueParameter MessageBuilderParameter { get { return (IValueParameter)Parameters["MessageBuilder"]; } } public IFixedValueParameter SupportScriptParameter { get { return (IFixedValueParameter)Parameters["SupportScript"]; } } private IFixedValueParameter MaximizationParameter { get { return (IFixedValueParameter)Parameters["Maximization"]; } } #endregion #region Properties public new IEncoding Encoding { get { return base.Encoding; } set { base.Encoding = value; } } public EvaluationCache Cache { get { return CacheParameter.Value; } } public CheckedItemCollection Clients { get { return ClientsParameter.Value; } } public SolutionMessageBuilder MessageBuilder { get { return MessageBuilderParameter.Value; } } public MultiObjectiveOptimizationSupportScript OptimizationSupportScript { get { return SupportScriptParameter.Value; } } private IMultiObjectiveOptimizationSupport OptimizationSupport { get { return SupportScriptParameter.Value; } } #endregion [StorableConstructor] protected MultiObjectiveExternalEvaluationProblem(StorableConstructorFlag deserializing) : base(deserializing) { } protected MultiObjectiveExternalEvaluationProblem(MultiObjectiveExternalEvaluationProblem original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new MultiObjectiveExternalEvaluationProblem(this, cloner); } public MultiObjectiveExternalEvaluationProblem() : base() { Parameters.Remove("Maximization"); // readonly in base class Parameters.Add(new FixedValueParameter("Maximization", "Set to false if the problem should be minimized.", new BoolArray())); Parameters.Add(new OptionalValueParameter("Cache", "Cache of previously evaluated solutions.")); Parameters.Add(new ValueParameter>("Clients", "The clients that are used to communicate with the external application.", new CheckedItemCollection() { new EvaluationServiceClient() })); Parameters.Add(new ValueParameter("MessageBuilder", "The message builder that converts from HeuristicLab objects to SolutionMessage representation.", new SolutionMessageBuilder()) { Hidden = true }); Parameters.Add(new FixedValueParameter("SupportScript", "A script that can analyze the results of the optimization.", new MultiObjectiveOptimizationSupportScript())); } #region Multi Objective Problem Overrides public override bool[] Maximization { get { return Parameters.ContainsKey("Maximization") ? ((IValueParameter)Parameters["Maximization"]).Value.ToArray() : new bool[0]; } } public virtual void SetMaximization(bool[] maximization) { ((IStringConvertibleArray)MaximizationParameter.Value).Length = maximization.Length; var array = MaximizationParameter.Value; for (var i = 0; i < maximization.Length; i++) array[i] = maximization[i]; } public override double[] Evaluate(Individual individual, IRandom random) { var qualityMessage = Evaluate(BuildSolutionMessage(individual)); if (!qualityMessage.HasExtension(MultiObjectiveQualityMessage.QualityMessage_)) throw new InvalidOperationException("The received message is not a MultiObjectiveQualityMessage."); return qualityMessage.GetExtension(MultiObjectiveQualityMessage.QualityMessage_).QualitiesList.ToArray(); } public virtual QualityMessage Evaluate(SolutionMessage solutionMessage) { return Cache == null ? EvaluateOnNextAvailableClient(solutionMessage) : Cache.GetValue(solutionMessage, EvaluateOnNextAvailableClient, GetQualityMessageExtensions()); } public override void Analyze(Individual[] individuals, double[][] qualities, ResultCollection results, IRandom random) { OptimizationSupport.Analyze(individuals, qualities, results, random); } #endregion public virtual ExtensionRegistry GetQualityMessageExtensions() { var extensions = ExtensionRegistry.CreateInstance(); extensions.Add(MultiObjectiveQualityMessage.QualityMessage_); return extensions; } #region Evaluation private HashSet activeClients = new HashSet(); private object clientLock = new object(); private QualityMessage EvaluateOnNextAvailableClient(SolutionMessage message) { IEvaluationServiceClient client = null; lock (clientLock) { client = Clients.CheckedItems.FirstOrDefault(c => !activeClients.Contains(c)); while (client == null && Clients.CheckedItems.Any()) { Monitor.Wait(clientLock); client = Clients.CheckedItems.FirstOrDefault(c => !activeClients.Contains(c)); } if (client != null) activeClients.Add(client); } try { return client.Evaluate(message, GetQualityMessageExtensions()); } finally { lock (clientLock) { activeClients.Remove(client); Monitor.PulseAll(clientLock); } } } private SolutionMessage BuildSolutionMessage(Individual individual, int solutionId = 0) { lock (clientLock) { SolutionMessage.Builder protobufBuilder = SolutionMessage.CreateBuilder(); protobufBuilder.SolutionId = solutionId; foreach (var variable in individual.Values) { try { MessageBuilder.AddToMessage(variable.Value, variable.Key, protobufBuilder); } catch (ArgumentException ex) { throw new InvalidOperationException(string.Format("ERROR while building solution message: Parameter {0} cannot be added to the message", Name), ex); } } return protobufBuilder.Build(); } } #endregion } }