#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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.Drawing;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HEAL.Attic;
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.")]
[StorableType("6C666B13-1A69-4924-9ED7-4AC06151FDC6")]
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;
}
#region item cloning and persistence
[StorableConstructor]
private Solution(StorableConstructorFlag _) : base(_) { }
[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);
}
#endregion
}
}