#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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.Linq;
using System.Text;
using HeuristicLab.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Data;
using HeuristicLab.Core;
namespace HeuristicLab.Algorithms.ParticleSwarmOptimization {
public class ParticleUpdater : SingleSuccessorOperator { // ParticleUpdater
#region Parameter properties
public ILookupParameter VelocityParameter {
get { return (ILookupParameter)Parameters["Velocity"]; }
}
public IParameter RandomParameter {
get { return (IParameter)Parameters["Random"]; }
}
public ILookupParameter CurrentPositionParameter {
get { return (ILookupParameter)Parameters["CurrentPosition"]; }
}
public ILookupParameter BestLocalParameter {
get { return (ILookupParameter)Parameters["BestLocal"]; }
}
public ILookupParameter BestGlobalParameter {
get { return (ILookupParameter)Parameters["BestGlobal"]; }
}
public ILookupParameter BoundsParameter {
get { return (ILookupParameter)Parameters["Bounds"]; }
}
#endregion
public ParticleUpdater()
: base() {
Parameters.Add(new LookupParameter("Random", "Random number generator (to generate alpha an beta)."));
Parameters.Add(new LookupParameter("Velocity", "The velocity vector to update."));
Parameters.Add(new LookupParameter("CurrentPosition", "Current position"));
Parameters.Add(new LookupParameter("BestLocal", "Best local position"));
Parameters.Add(new LookupParameter("BestGlobal", "Best global position"));
Parameters.Add(new LookupParameter("Bounds", "The lower and upper bounds for each dimension of the position vector."));
}
public override IOperation Apply() {
double alpha = ((IRandom)RandomParameter.ActualValue).NextDouble();
double beta = ((IRandom)RandomParameter.ActualValue).NextDouble();
RealVector velocity = (RealVector) VelocityParameter.ActualValue;
for (int i = 0; i < velocity.Length; i++) {
velocity[i] = velocity[i] + alpha * (BestLocalParameter.ActualValue[i] - CurrentPositionParameter.ActualValue[i]) + beta * (BestGlobalParameter.ActualValue[i] - CurrentPositionParameter.ActualValue[i]);
}
VelocityParameter.ActualValue = velocity;
for (int i = 0; i < CurrentPositionParameter.ActualValue.Length; i++) {
CurrentPositionParameter.ActualValue[i] = CurrentPositionParameter.ActualValue[i] + VelocityParameter.ActualValue[i];
if (CurrentPositionParameter.ActualValue[i] < BoundsParameter.ActualValue[0,0]) {
CurrentPositionParameter.ActualValue[i] = BoundsParameter.ActualValue[0, 0];
} else if (CurrentPositionParameter.ActualValue[i] > BoundsParameter.ActualValue[0,1]) {
CurrentPositionParameter.ActualValue[i] = BoundsParameter.ActualValue[0, 1];
}
}
return base.Apply();
}
public override bool CanChangeName {
get { return false; }
}
}
}