#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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.LawnMower {
[StorableType("2C281DFB-E16D-4C0F-AC58-288458E9001D")]
public sealed class ConstantTreeNode : SymbolicExpressionTreeTerminalNode {
private Tuple value;
public override bool HasLocalParameters {
get { return true; }
}
[Storable]
public Tuple Value { get { return value; } private set { this.value = value; } }
[StorableConstructor]
private ConstantTreeNode(bool deserializing) : base(deserializing) { }
private ConstantTreeNode(ConstantTreeNode original, Cloner cloner)
: base(original, cloner) {
this.value = new Tuple(original.value.Item1, original.value.Item2);
}
public ConstantTreeNode()
: base(new Constant()) {
value = Tuple.Create(0, 0);
}
[StorableHook(HookType.AfterDeserialization)]
private void AfterDeserialization() {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new ConstantTreeNode(this, cloner);
}
public override void ResetLocalParameters(IRandom random) {
value = new Tuple(random.Next(-20, 20), random.Next(-20, 20));
}
public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
int dX = (int)Math.Round(random.Next(-10, +10) * shakingFactor);
int dY = (int)Math.Round(random.Next(-10, +10) * shakingFactor);
value = new Tuple(value.Item1 + dX, value.Item2 + dY);
}
}
}