#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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.BinaryVectorEncoding { [StorableType("5561E2ED-C2DA-439B-A410-AE732F16136D")] [Item("BinaryVector", "Represents a vector of binary values.")] public class BinaryVector : BoolArray { [StorableConstructor] protected BinaryVector(bool deserializing) : base(deserializing) { } protected BinaryVector(BinaryVector original, Cloner cloner) : base(original, cloner) { } public BinaryVector() : base() { } public BinaryVector(int length) : base(length) { } public BinaryVector(int length, IRandom random) : this(length) { Randomize(random); } public BinaryVector(bool[] elements) : base(elements) { } public BinaryVector(BoolArray elements) : this(elements.Length) { for (int i = 0; i < array.Length; i++) array[i] = elements[i]; } public override IDeepCloneable Clone(Cloner cloner) { return new BinaryVector(this, cloner); } public virtual void Randomize(IRandom random, int startIndex, int length) { if (length > 0) { for (int i = 0; i < length; i++) array[startIndex + i] = random.Next(2) == 0; OnReset(); } } public void Randomize(IRandom random) { Randomize(random, 0, Length); } } }