#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(); } } }