source: branches/OptimizationNetworks/HeuristicLab.Networks.IntegratedOptimization.MachineLearning/OrchestratedBinaryProblem.cs @ 14675

Last change on this file since 14675 was 14675, checked in by mkommend, 4 years ago

#2205: Worked on optimization networks for integrated machine learning.

File size: 2.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2017 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.Threading;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.BinaryVectorEncoding;
27using HeuristicLab.Optimization;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Networks.IntegratedOptimization.MachineLearning {
31  [StorableClass]
32  [Creatable("Optimization Networks")]
33  public sealed class OrchestratedBinaryProblem : SingleObjectiveBasicProblem<BinaryVectorEncoding> {
34
35    [Storable]
36    private readonly bool maximization;
37    public override bool Maximization { get { return maximization; } }
38
39    [Storable]
40    public FeatureSelectionOrchestrator Orchestrator { get; private set; }
41
42    [StorableConstructor]
43    private OrchestratedBinaryProblem(bool deserializing) : base(deserializing) { }
44    private OrchestratedBinaryProblem(OrchestratedBinaryProblem original, Cloner cloner)
45      : base(original, cloner) {
46      this.maximization = original.maximization;
47      this.Orchestrator = cloner.Clone(original.Orchestrator);
48    }
49    public override IDeepCloneable Clone(Cloner cloner) {
50      return new OrchestratedBinaryProblem(this, cloner);
51    }
52
53    public OrchestratedBinaryProblem(FeatureSelectionOrchestrator orchestator, int binaryVectorLength, bool maximization)
54      : base() {
55      Orchestrator = orchestator;
56      Encoding.Length = binaryVectorLength;
57      this.maximization = maximization;
58    }
59
60    public override double Evaluate(Individual individual, IRandom random) {
61      var msg = Orchestrator.FeatureSelectionEvaluationPort.PrepareMessage();
62      msg["BinaryVector"] = individual.BinaryVector();
63      Orchestrator.FeatureSelectionEvaluationPort.ReceiveMessage(msg, new CancellationToken());
64      var quality = (DoubleValue)msg["Quality"];
65      return quality.Value;
66    }
67  }
68}
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