#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.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Algorithms.ALPS.SteadyState { [Item("SteadyStateMatingPoolCreator", "")] [StorableClass] public class SteadyStateMatingPoolCreator : SingleSuccessorOperator { private ILookupParameter WorkingScopeParameter { get { return (ILookupParameter)Parameters["WorkingScope"]; } } private ILookupParameter LayersParameter { get { return (ILookupParameter)Parameters["Layers"]; } } private ILookupParameter LayerParameter { get { return (ILookupParameter)Parameters["Layer"]; } } private ILookupParameter AgeLimitsParameter { get { return (ILookupParameter)Parameters["AgeLimits"]; } } private ILookupParameter NumberOfLayersParameter { get { return (ILookupParameter)Parameters["NumberOfLayers"]; } } private ILookupParameter EvaluatedSolutionsParameter { get { return (ILookupParameter)Parameters["EvaluatedSolutions"]; } } private ILookupParameter PopulationSizeParameter { get { return (ILookupParameter)Parameters["PopulationSize"]; } } [StorableConstructor] private SteadyStateMatingPoolCreator(bool deserializing) : base(deserializing) { } private SteadyStateMatingPoolCreator(SteadyStateMatingPoolCreator original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new SteadyStateMatingPoolCreator(this, cloner); } public SteadyStateMatingPoolCreator() : base() { Parameters.Add(new LookupParameter("WorkingScope")); Parameters.Add(new LookupParameter("Layers")); Parameters.Add(new LookupParameter("Layer")); Parameters.Add(new LookupParameter("AgeLimits")); Parameters.Add(new LookupParameter("NumberOfLayers")); Parameters.Add(new LookupParameter("EvaluatedSolutions")); Parameters.Add(new LookupParameter("PopulationSize")); } public override IOperation Apply() { int layerNumber = LayerParameter.ActualValue.Value; var workingScope = WorkingScopeParameter.ActualValue; var layers = LayersParameter.ActualValue; var ageLimits = AgeLimitsParameter.ActualValue; int numberOfLayers = NumberOfLayersParameter.ActualValue.Value; int evaluations = EvaluatedSolutionsParameter.ActualValue.Value; int popSize = PopulationSizeParameter.ActualValue.Value; var currentLayer = layers.SubScopes[layerNumber].SubScopes; var prevLayer = layerNumber > 0 ? layers.SubScopes[layerNumber - 1].SubScopes : Enumerable.Empty(); var ageLimit = layerNumber < numberOfLayers - 1 ? ageLimits[layerNumber] : int.MaxValue; var matingPool = from individual in currentLayer.Union(prevLayer) let evalsCreated = ((IntValue)individual.Variables["EvalsCreated"].Value).Value let age = (evaluations - evalsCreated) / popSize where age < ageLimit select (IScope)individual/*.Clone()*/; foreach (var individual in matingPool) { workingScope.SubScopes.Add(individual); } return base.Apply(); } } }