#region License Information /* HeuristicLab * Copyright (C) 2002-2008 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.Collections.Generic; using System.Globalization; using System.Linq; using System.Text; using System.Xml; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Random; namespace HeuristicLab.SimOpt { public class NormalDoubleManipulator : SimOptManipulationOperatorBase { public override string Description { get { return @"Perturbs a DoubleData or ConstrainedDoubleData by a value normal distributed around 0"; } } /*private NormalDistributedRandom myRandom; public NormalDistributedRandom Random { get { return myRandom; } set { myRandom = value; } } private double myShakingFactor; public double ShakingFactor { get { return myShakingFactor; } set { myShakingFactor = value; } }*/ public NormalDoubleManipulator() : base() { AddVariableInfo(new VariableInfo("ShakingFactor", "", typeof(DoubleData), VariableKind.In)); /*myRandom = new NormalDistributedRandom(new MersenneTwister(), 0.0, 1.0); myShakingFactor = 1.0;*/ } /*public override IView CreateView() { return new NormalDoubleManipulatorView(this); }*/ protected override void Apply(IScope scope, IRandom random, IItem item) { double shakingFactor = GetVariableValue("ShakingFactor", scope, true).Data; NormalDistributedRandom normal = new NormalDistributedRandom(random, 0.0, shakingFactor); if (item is DoubleData) { ((DoubleData)item).Data += normal.NextDouble(); return; } else if (item is ConstrainedDoubleData) { ConstrainedDoubleData data = (item as ConstrainedDoubleData); for (int tries = 100; tries >= 0; tries--) { double newValue = data.Data + normal.NextDouble(); if (IsIntegerConstrained(data)) { newValue = Math.Round(newValue); } if (data.TrySetData(newValue)) { return; } } throw new InvalidProgramException("Coudn't find a valid value in 100 tries"); } else throw new InvalidOperationException("ERROR: NormalDoubleManipulator does not know how to work with " + ((item != null) ? (item.GetType().ToString()) : ("null")) + " data"); } /*public override void Visit(DoubleData data) { data.Data += (myRandom.NextDouble() dat* myShakingFactor); } public override void Visit(ConstrainedDoubleData data) { for (int tries = 100; tries >= 0; tries--) { double newValue = data.Data + myRandom.NextDouble() * myShakingFactor; if (IsIntegerConstrained(data)) { newValue = Math.Round(newValue); } if (data.TrySetData(newValue)) { return; } } throw new InvalidProgramException("Coudn't find a valid value in 100 tries"); } #region clone & persistence public override object Clone(IDictionary clonedObjects) { NormalDoubleManipulator clone = new NormalDoubleManipulator(); clonedObjects.Add(Guid, clone); clone.Random = (NormalDistributedRandom)myRandom.Clone(clonedObjects); clone.ShakingFactor = myShakingFactor; return clone; } public override XmlNode GetXmlNode(string name, XmlDocument document, IDictionary persistedObjects) { XmlNode node = base.GetXmlNode(name, document, persistedObjects); XmlNode randomNode = PersistenceManager.Persist("Random", Random, document, persistedObjects); node.AppendChild(randomNode); XmlNode shakingFactorNode = document.CreateNode(XmlNodeType.Element, "ShakingFactor", null); shakingFactorNode.InnerText = myShakingFactor.ToString(CultureInfo.InvariantCulture); node.AppendChild(shakingFactorNode); return node; } public override void Populate(XmlNode node, IDictionary restoredObjects) { base.Populate(node, restoredObjects); myRandom = (NormalDistributedRandom)PersistenceManager.Restore(node.SelectSingleNode("Random"), restoredObjects); myShakingFactor = double.Parse(node.SelectSingleNode("ShakingFactor").InnerText, CultureInfo.InvariantCulture); } #endregion*/ } }