#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 System.Collections.Generic; using System.Linq; 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("Single-objective Analyzer", "Calls the script's Analyze method to be able to write into the results collection.")] [StorableClass] public sealed class SingleObjectiveAnalyzer : SingleSuccessorOperator, ISingleObjectiveAnalysisOperator, IAnalyzer, IStochasticOperator { public bool EnabledByDefault { get { return true; } } public ILookupParameter EncodingParameter { get { return (ILookupParameter)Parameters["Encoding"]; } } public IScopeTreeLookupParameter QualityParameter { get { return (IScopeTreeLookupParameter)Parameters["Quality"]; } } public ILookupParameter ResultsParameter { get { return (ILookupParameter)Parameters["Results"]; } } public ILookupParameter RandomParameter { get { return (ILookupParameter)Parameters["Random"]; } } public Action AnalyzeAction { get; set; } [StorableConstructor] private SingleObjectiveAnalyzer(bool deserializing) : base(deserializing) { } private SingleObjectiveAnalyzer(SingleObjectiveAnalyzer original, Cloner cloner) : base(original, cloner) { } public SingleObjectiveAnalyzer() { Parameters.Add(new LookupParameter("Encoding", "An item that holds the problem's encoding.")); Parameters.Add(new ScopeTreeLookupParameter("Quality", "The quality of the parameter vector.")); Parameters.Add(new LookupParameter("Results", "The results collection to write to.")); Parameters.Add(new LookupParameter("Random", "The random number generator to use.")); } public override IDeepCloneable Clone(Cloner cloner) { return new SingleObjectiveAnalyzer(this, cloner); } public override IOperation Apply() { var encoding = EncodingParameter.ActualValue; var results = ResultsParameter.ActualValue; var random = RandomParameter.ActualValue; IEnumerable scopes = new[] { ExecutionContext.Scope }; for (var i = 0; i < QualityParameter.Depth; i++) scopes = scopes.Select(x => (IEnumerable)x.SubScopes).Aggregate((a, b) => a.Concat(b)); var individuals = scopes.Select(encoding.GetIndividual).ToArray(); AnalyzeAction(individuals, QualityParameter.ActualValue.Select(x => x.Value).ToArray(), results, random); return base.Apply(); } } }