#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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.Linq;
using HeuristicLab.Analysis;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.LinearAssignment {
///
/// A genetic algorithm.
///
[Item("Hungarian Algorithm", "The Hungarian algorithm can be used to solve the linear assignment problem in O(n^3). It is also known as the Kuhn–Munkres algorithm or Munkres assignment algorithm.")]
[Creatable("Algorithms")]
[StorableClass]
public sealed class HungarianAlgorithm : EngineAlgorithm, IStorableContent {
public string Filename { get; set; }
#region Problem Properties
public override Type ProblemType {
get { return typeof(LinearAssignmentProblem); }
}
public new LinearAssignmentProblem Problem {
get { return (LinearAssignmentProblem)base.Problem; }
set { base.Problem = value; }
}
#endregion
#region Parameter Properties
private ValueParameter AnalyzerParameter {
get { return (ValueParameter)Parameters["Analyzer"]; }
}
#endregion
#region Properties
public MultiAnalyzer Analyzer {
get { return AnalyzerParameter.Value; }
set { AnalyzerParameter.Value = value; }
}
private LinearAssignmentProblemSolver Solver {
get { return (LinearAssignmentProblemSolver)OperatorGraph.InitialOperator; }
}
#endregion
[StorableConstructor]
private HungarianAlgorithm(bool deserializing) : base(deserializing) { }
private HungarianAlgorithm(HungarianAlgorithm original, Cloner cloner)
: base(original, cloner) {
RegisterEventHandlers();
}
public HungarianAlgorithm()
: base() {
Parameters.Add(new ValueParameter("Analyzer", "The operator used to analyze the result.", new MultiAnalyzer()));
var solver = new LinearAssignmentProblemSolver();
OperatorGraph.InitialOperator = solver;
var placeholder = new Placeholder();
placeholder.Name = "(Analyzer)";
placeholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
solver.Successor = placeholder;
UpdateAnalyzers();
RegisterEventHandlers();
Problem = new LinearAssignmentProblem();
}
public override IDeepCloneable Clone(Cloner cloner) {
return new HungarianAlgorithm(this, cloner);
}
public override void Prepare() {
if (Problem != null) base.Prepare();
}
#region Events
protected override void OnProblemChanged() {
Problem.SolutionCreatorChanged += new EventHandler(Problem_SolutionCreatorChanged);
Problem.EvaluatorChanged += new EventHandler(Problem_EvaluatorChanged);
UpdateAnalyzers();
Parameterize();
base.OnProblemChanged();
}
private void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
Parameterize();
}
private void Problem_EvaluatorChanged(object sender, EventArgs e) {
Parameterize();
}
protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
UpdateAnalyzers();
base.Problem_OperatorsChanged(sender, e);
}
#endregion
#region Helpers
[StorableHook(HookType.AfterDeserialization)]
private void AfterDeserialization() {
RegisterEventHandlers();
}
private void RegisterEventHandlers() {
if (Problem != null) {
Problem.SolutionCreatorChanged += new EventHandler(Problem_SolutionCreatorChanged);
Problem.EvaluatorChanged += new EventHandler(Problem_EvaluatorChanged);
}
}
private void UpdateAnalyzers() {
Analyzer.Operators.Clear();
if (Problem != null) {
foreach (var analyzer in Problem.OperatorsParameter.Value.OfType()) {
foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType())
param.Depth = 0;
Analyzer.Operators.Add(analyzer);
}
}
}
private void Parameterize() {
if (Problem != null) {
Solver.AssignmentParameter.ActualName = Problem.SolutionCreator.PermutationParameter.ActualName;
Solver.CostsParameter.ActualName = Problem.CostsParameter.Name;
Solver.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
}
}
#endregion
}
}