#region License Information /* HeuristicLab * Copyright (C) 2002-2017 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.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment.Algorithms.LAHC { [Item("pLAHC-s Context", "Context for parameterless late-acceptance hill climber with seeding.")] [StorableClass] public sealed class PLAHCContext : SingleSolutionContext> { [Storable] private IValueParameter problem; public GQAP Problem { get { return problem.Value; } set { problem.Value = value; } } [Storable] private IValueParameter bestSolution; public GQAPSolution BestSolution { get { return bestSolution.Value; } set { bestSolution.Value = value; } } [Storable] private IValueParameter sprintIterations; public int SprintIterations { get { return sprintIterations.Value.Value; } set { sprintIterations.Value.Value = value; } } [Storable] private IValueParameter memory; public DoubleArray Memory { get { return memory.Value; } set { memory.Value = value; } } [Storable] private IValueParameter lastSuccess; public int LastSuccess { get { return lastSuccess.Value.Value; } set { lastSuccess.Value.Value = value; } } [Storable] private IValueParameter> bestList; public ItemList BestList { get { return bestList.Value; } set { bestList.Value = value; } } [StorableConstructor] private PLAHCContext(bool deserializing) : base(deserializing) { } private PLAHCContext(PLAHCContext original, Cloner cloner) : base(original, cloner) { problem = cloner.Clone(original.problem); bestSolution = cloner.Clone(original.bestSolution); sprintIterations = cloner.Clone(original.sprintIterations); memory = cloner.Clone(original.memory); lastSuccess = cloner.Clone(original.lastSuccess); bestList = cloner.Clone(original.bestList); } public PLAHCContext() { Parameters.Add(problem = new ValueParameter("Problem")); Parameters.Add(bestSolution = new ValueParameter("BestFoundSolution")); Parameters.Add(sprintIterations = new ValueParameter("SprintIterations")); Parameters.Add(memory = new ValueParameter("Memory")); Parameters.Add(lastSuccess = new ValueParameter("LastSuccess")); Parameters.Add(bestList = new ValueParameter>("BestList")); } public override IDeepCloneable Clone(Cloner cloner) { return new PLAHCContext(this, cloner); } public ISingleObjectiveSolutionScope ToScope(GQAPSolution code, double fitness = double.NaN) { var name = Problem.Encoding.Name; var scope = new SingleObjectiveSolutionScope(code, name + "Solution", fitness, Problem.Evaluator.QualityParameter.ActualName) { Parent = Scope }; scope.Variables.Add(new Variable(name, code.Assignment)); scope.Variables.Add(new Variable("Evaluation", code.Evaluation)); return scope; } } }