#region License Information
/* HeuristicLab
* Copyright (C) 2002-2014 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.IntegerVectorEncoding;
using HeuristicLab.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.Orienteering {
public class OrienteeringEvaluator : InstrumentedOperator, IOrienteeringEvaluator {
public ILookupParameter QualityParameter {
get { return (ILookupParameter)Parameters["Quality"]; }
}
public ILookupParameter IntegerVectorParameter {
get { return (ILookupParameter)Parameters["IntegerVector"]; }
}
public ILookupParameter ScoresParameter {
get { return (ILookupParameter)Parameters["Scores"]; }
}
[StorableConstructor]
protected OrienteeringEvaluator(bool deserializing)
: base(deserializing) {
}
protected OrienteeringEvaluator(OrienteeringEvaluator original, Cloner cloner)
: base(original, cloner) {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new OrienteeringEvaluator(this, cloner);
}
public OrienteeringEvaluator()
: base() {
Parameters.Add(new LookupParameter("Quality", "The evaluated quality of the Orienteering solution."));
Parameters.Add(new LookupParameter("IntegerVector", "The Orienteering Solution given in path representation."));
Parameters.Add(new LookupParameter("Scores", "The scores of the points."));
}
public class OrienteeringEvaluation {
public DoubleValue Quality;
}
public static OrienteeringEvaluation Apply(IntegerVector solution, DoubleArray scores) {
// TODO distance penalty
double score = 0.0;
for (int i = 0; i < solution.Length; i++) {
score += scores[i];
}
return new OrienteeringEvaluation {
Quality = new DoubleValue(score)
};
}
public override IOperation InstrumentedApply() {
var evaluation = Apply(IntegerVectorParameter.ActualValue, ScoresParameter.ActualValue);
QualityParameter.ActualValue = evaluation.Quality;
return base.InstrumentedApply();
}
}
}