#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.Drawing; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.GeneticProgramming.ArtificialAnt { /// /// Represents a trail of an artificial ant which can be visualized in the GUI. /// [Item("AntTrail", "Represents a trail of an artificial ant which can be visualized in the GUI.")] [StorableClass] public sealed class Solution : Item { public static new Image StaticItemImage { get { return HeuristicLab.Common.Resources.VSImageLibrary.Image; } } [Storable] public ISymbolicExpressionTree SymbolicExpressionTree { get; private set; } [Storable] public BoolMatrix World { get; private set; } [Storable] public int MaxTimeSteps { get; private set; } [Storable] public double Quality { get; private set; } public Solution(BoolMatrix world, ISymbolicExpressionTree expression, int maxTimeSteps, double quality) { this.World = world; this.SymbolicExpressionTree = expression; this.MaxTimeSteps = maxTimeSteps; this.Quality = quality; } [StorableConstructor] private Solution(bool deserializing) : base(deserializing) { } [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { } private Solution(Solution original, Cloner cloner) : base(original, cloner) { SymbolicExpressionTree = cloner.Clone(original.SymbolicExpressionTree); World = cloner.Clone(original.World); MaxTimeSteps = original.MaxTimeSteps; Quality = original.Quality; } public override IDeepCloneable Clone(Cloner cloner) { return new Solution(this, cloner); } } }