#region License Information /* HeuristicLab * Copyright (C) 2002-2011 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.RealVectorEncoding { [StorableClass] [Item("RealVector", "Represents a vector of real values.")] public class RealVector : DoubleArray { [StorableConstructor] protected RealVector(bool deserializing) : base(deserializing) { } protected RealVector(RealVector original, Cloner cloner) : base(original, cloner) { } public RealVector() : base() { } public RealVector(int length) : base(length) { } public RealVector(int length, IRandom random, double min, double max) : this(length) { Randomize(random, min, max); } public RealVector(double[] elements) : base(elements) { } public RealVector(DoubleArray elements) : this(elements.Length) { for (int i = 0; i < array.Length; i++) array[i] = elements[i]; } public override IDeepCloneable Clone(Cloner cloner) { return new RealVector(this, cloner); } public virtual void Randomize(IRandom random, int startIndex, int length, double min, double max) { double delta = max - min; if (length > 0) { for (int i = 0; i < length; i++) array[startIndex + i] = min + delta * random.NextDouble(); OnReset(); } } public virtual void Randomize(IRandom random, int startIndex, int length, DoubleMatrix bounds) { if (length > 0) { for (int i = startIndex; i < startIndex + length; i++) { double min = bounds[i % bounds.Rows, 0]; double max = bounds[i % bounds.Rows, 1]; array[i] = min + (max - min) * random.NextDouble(); } OnReset(); } } public void Randomize(IRandom random, double min, double max) { Randomize(random, 0, Length, min, max); } public void Randomize(IRandom random, DoubleMatrix bounds) { Randomize(random, 0, Length, bounds); } } }