#region License Information /* HeuristicLab * Copyright (C) 2002-2019 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.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HEAL.Attic; namespace HeuristicLab.Encodings.RealVectorEncoding { [Item("Particle Updater (SPSO)", "Updates a certain particle taking the current position and velocity into account, as well as the best point and the best point in a local neighborhood.")] [StorableType("D29959F9-476B-47E3-8426-B358C9C07E01")] public abstract class SPSOParticleUpdater : SingleSuccessorOperator, IRealVectorParticleUpdater { public override bool CanChangeName { get { return false; } } #region Parameter properties public ILookupParameter RandomParameter { get { return (ILookupParameter)Parameters["Random"]; } } public ILookupParameter VelocityParameter { get { return (ILookupParameter)Parameters["Velocity"]; } } public ILookupParameter PersonalBestParameter { get { return (ILookupParameter)Parameters["PersonalBest"]; } } public ILookupParameter NeighborBestParameter { get { return (ILookupParameter)Parameters["NeighborBest"]; } } public ILookupParameter RealVectorParameter { get { return (ILookupParameter)Parameters["RealVector"]; } } public ILookupParameter BoundsParameter { get { return (ILookupParameter)Parameters["Bounds"]; } } public ILookupParameter CurrentMaxVelocityParameter { get { return (ILookupParameter)Parameters["CurrentMaxVelocity"]; } } public ILookupParameter CurrentInertiaParameter { get { return (ILookupParameter)Parameters["CurrentInertia"]; } } ILookupParameter IParticleUpdater.InertiaParameter { get { return CurrentInertiaParameter; } } public ILookupParameter PersonalBestAttractionParameter { get { return (ILookupParameter)Parameters["PersonalBestAttraction"]; } } public ILookupParameter NeighborBestAttractionParameter { get { return (ILookupParameter)Parameters["NeighborBestAttraction"]; } } #endregion #region Construction & Cloning [StorableConstructor] protected SPSOParticleUpdater(StorableConstructorFlag _) : base(_) { } protected SPSOParticleUpdater(SPSOParticleUpdater original, Cloner cloner) : base(original, cloner) { } public SPSOParticleUpdater() : base() { Parameters.Add(new LookupParameter("Random", "Random number generator.")); Parameters.Add(new LookupParameter("RealVector", "Particle's current solution")); Parameters.Add(new LookupParameter("Velocity", "Particle's current velocity.")); Parameters.Add(new LookupParameter("PersonalBest", "Particle's personal best solution.")); Parameters.Add(new LookupParameter("NeighborBest", "Best neighboring solution.")); Parameters.Add(new LookupParameter("Bounds", "The lower and upper bounds for each dimension of the position vector for the current problem.")); Parameters.Add(new LookupParameter("CurrentMaxVelocity", "Maximum for the particle's velocity vector.")); Parameters.Add(new LookupParameter("CurrentInertia", "The weight for the particle's velocity vector.")); Parameters.Add(new LookupParameter("PersonalBestAttraction", "The weight for the particle's personal best position.")); Parameters.Add(new LookupParameter("NeighborBestAttraction", "The weight for the global best position.")); } #endregion } }