#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); } } }