#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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.Linq;
using System.Text;
using HeuristicLab.Optimization;
using HeuristicLab.Data;
using HeuristicLab.Core;
using HeuristicLab.Operators;
using HeuristicLab.Encodings.BinaryVectorEncoding;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.OneMax.Analyzers {
///
/// An operator for analyzing the best solution for a OneMax problem.
///
[Item("BestOneMaxSolutionAnalyzer", "An operator for analyzing the best solution for a OneMax problem.")]
[StorableClass]
class BestOneMaxSolutionAnalyzer : SingleSuccessorOperator, IAnalyzer {
public ScopeTreeLookupParameter BinaryVectorParameter {
get { return (ScopeTreeLookupParameter)Parameters["BinaryVector"]; }
}
public ScopeTreeLookupParameter QualityParameter {
get { return (ScopeTreeLookupParameter)Parameters["Quality"]; }
}
public LookupParameter BestSolutionParameter {
get { return (LookupParameter)Parameters["BestSolution"]; }
}
public ValueLookupParameter ResultsParameter {
get { return (ValueLookupParameter)Parameters["Results"]; }
}
public BestOneMaxSolutionAnalyzer()
: base() {
Parameters.Add(new ScopeTreeLookupParameter("BinaryVector", "The Onemax solutions from which the best solution should be visualized."));
Parameters.Add(new ScopeTreeLookupParameter("Quality", "The qualities of the Onemax solutions which should be visualized."));
Parameters.Add(new LookupParameter("BestSolution", "The best Onemax solution."));
Parameters.Add(new ValueLookupParameter("Results", "The result collection where the Onemax solution should be stored."));
}
public override IOperation Apply() {
ItemArray binaryVectors = BinaryVectorParameter.ActualValue;
ItemArray qualities = QualityParameter.ActualValue;
ResultCollection results = ResultsParameter.ActualValue;
int i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
OneMaxSolution solution = BestSolutionParameter.ActualValue;
if (solution == null) {
solution = new OneMaxSolution(binaryVectors[i], QualityParameter.ActualValue[i]);
BestSolutionParameter.ActualValue = solution;
results.Add(new Result("Best OneMax Solution", solution));
} else {
solution.BinaryVector = binaryVectors[i];
solution.Quality = QualityParameter.ActualValue[i];
results["Best OneMax Solution"].Value = solution;
}
return base.Apply();
}
}
}