#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.SymbolicExpressionTreeEncoding; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.ArtificialAnt { [Item("ArtificialAntEvaluator", "Evaluates an artificial ant solution.")] [StorableClass] public class Evaluator : InstrumentedOperator, ISingleObjectiveEvaluator { public ILookupParameter QualityParameter { get { return (ILookupParameter)Parameters["Quality"]; } } public ILookupParameter SymbolicExpressionTreeParameter { get { return (ILookupParameter)Parameters["SymbolicExpressionTree"]; } } public ILookupParameter WorldParameter { get { return (ILookupParameter)Parameters["World"]; } } public ILookupParameter MaxTimeStepsParameter { get { return (ILookupParameter)Parameters["MaxTimeSteps"]; } } [StorableConstructor] protected Evaluator(bool deserializing) : base(deserializing) { } protected Evaluator(Evaluator original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new Evaluator(this, cloner); } public Evaluator() : base() { Parameters.Add(new LookupParameter("Quality", "The quality of the evaluated artificial ant solution.")); Parameters.Add(new LookupParameter("SymbolicExpressionTree", "The artificial ant solution encoded as a symbolic expression tree that should be evaluated")); Parameters.Add(new LookupParameter("World", "The world for the artificial ant with scattered food items.")); Parameters.Add(new LookupParameter("MaxTimeSteps", "The maximal number of time steps that the artificial ant should be simulated.")); } public sealed override IOperation InstrumentedApply() { SymbolicExpressionTree expression = SymbolicExpressionTreeParameter.ActualValue; BoolMatrix world = WorldParameter.ActualValue; IntValue maxTimeSteps = MaxTimeStepsParameter.ActualValue; AntInterpreter interpreter = new AntInterpreter(); interpreter.MaxTimeSteps = maxTimeSteps.Value; interpreter.World = world; interpreter.Expression = expression; interpreter.Run(); QualityParameter.ActualValue = new DoubleValue(interpreter.FoodEaten); return base.InstrumentedApply(); } } }