#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.Default.CompositeSerializers.Storable;
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)]
[StorableClass]
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(bool 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
}
}