#region License Information /* HeuristicLab * Copyright (C) 2002-2015 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Optimization { [Item("Multi-objective Evaluator", "Calls the Evaluate method of the problem definition and writes the return value into the scope.")] [StorableClass] public class MultiObjectiveEvaluator : InstrumentedOperator, IMultiObjectiveEvaluationOperator, IStochasticOperator { public ILookupParameter RandomParameter { get { return (ILookupParameter)Parameters["Random"]; } } public ILookupParameter EncodingParameter { get { return (ILookupParameter)Parameters["Encoding"]; } } public ILookupParameter QualitiesParameter { get { return (ILookupParameter)Parameters["Qualities"]; } } public Func EvaluateFunc { get; set; } [StorableConstructor] protected MultiObjectiveEvaluator(bool deserializing) : base(deserializing) { } protected MultiObjectiveEvaluator(MultiObjectiveEvaluator original, Cloner cloner) : base(original, cloner) { } public MultiObjectiveEvaluator() { Parameters.Add(new LookupParameter("Random", "The random number generator to use.")); Parameters.Add(new LookupParameter("Encoding", "An item that holds the problem's encoding.")); Parameters.Add(new LookupParameter("Qualities", "The qualities of the parameter vector.")); } public override IDeepCloneable Clone(Cloner cloner) { return new MultiObjectiveEvaluator(this, cloner); } public override IOperation InstrumentedApply() { var random = RandomParameter.ActualValue; var encoding = EncodingParameter.ActualValue; var individual = encoding.GetIndividual(ExecutionContext.Scope); QualitiesParameter.ActualValue = new DoubleArray(EvaluateFunc(individual, random)); return base.InstrumentedApply(); } } }