#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 System; using System.Collections.Generic; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.BinaryVectorEncoding; using HeuristicLab.Encodings.IntegerVectorEncoding; using HeuristicLab.Encodings.PermutationEncoding; using HeuristicLab.Encodings.RealVectorEncoding; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.Programmable { [Item("Single-objective Evaluator", "Calls the script's Evaluate method to get the quality value of the parameter vector.")] [StorableClass] public class SingleObjectiveEvaluator : SingleSuccessorOperator, ISingleObjectiveProgrammableProblemEvaluator, IStochasticOperator { public ILookupParameter RandomParameter { get { return (ILookupParameter)Parameters["Random"]; } } public ILookupParameter ScriptParameter { get { return (ILookupParameter)Parameters["Script"]; } } public ILookupParameter ConfigurationParameter { get { return (ILookupParameter)Parameters["Configuration"]; } } public ILookupParameter QualityParameter { get { return (ILookupParameter)Parameters["Quality"]; } } [StorableConstructor] protected SingleObjectiveEvaluator(bool deserializing) : base(deserializing) { } protected SingleObjectiveEvaluator(SingleObjectiveEvaluator original, Cloner cloner) : base(original, cloner) { } public SingleObjectiveEvaluator() { Parameters.Add(new LookupParameter("Random", "The random number generator to use.")); Parameters.Add(new LookupParameter("Script", "The script that will execute the evaluation function and define the parameter vector.")); Parameters.Add(new LookupParameter("Configuration", "An item that holds the problem's configuration.")); Parameters.Add(new LookupParameter("Quality", "The quality of the parameter vector.")); } public override IDeepCloneable Clone(Cloner cloner) { return new SingleObjectiveEvaluator(this, cloner); } public override IOperation Apply() { var random = RandomParameter.ActualValue; var runner = ScriptParameter.ActualValue; if (runner.Instance == null) throw new InvalidOperationException("Script instance is null, maybe the code doesn't compile."); var config = ConfigurationParameter.ActualValue; var binDict = new Dictionary(); var intDict = new Dictionary(); var realDict = new Dictionary(); var permDict = new Dictionary(); foreach (var param in config.Parameters) { var binConfig = param.Value as BinaryParameterConfiguration; if (binConfig != null) { binDict.Add(param.Key, (BinaryVector)ExecutionContext.Scope.Variables[param.Key].Value); continue; } var intConfig = param.Value as IntegerParameterConfiguration; if (intConfig != null) { intDict.Add(param.Key, (IntegerVector)ExecutionContext.Scope.Variables[param.Key].Value); continue; } var realConfig = param.Value as RealParameterConfiguration; if (realConfig != null) { realDict.Add(param.Key, (RealVector)ExecutionContext.Scope.Variables[param.Key].Value); continue; } var permConfig = param.Value as PermutationParameterConfiguration; if (permConfig != null) { permDict.Add(param.Key, (Permutation)ExecutionContext.Scope.Variables[param.Key].Value); continue; } throw new InvalidOperationException("Parameter " + param.Key + " not found."); } var vector = new ParameterVector( binaryVectors: binDict.Count > 0 ? binDict : null, integerVectors: intDict.Count > 0 ? intDict : null, realVectors: realDict.Count > 0 ? realDict : null, permutations: permDict.Count > 0 ? permDict : null); QualityParameter.ActualValue = new DoubleValue(runner.Instance.Evaluate(random, vector)); return base.Apply(); } } }