#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 System;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;
using HEAL.Attic;
namespace HeuristicLab.Encodings.RealVectorEncoding {
///
/// Performs the polynomial manipulation on a randomly chosen single position in the real vector.
///
///
/// It is implemented as described in Deb, K. & Goyal, M. A. 1996. Combined Genetic Adaptive Search (GeneAS) for Engineering Design Computer Science and Informatics, 26, pp. 30-45.
///
[Item("PolynomialOnePositionManipulator", "The polynomial manipulation is implemented as described in Deb, K. & Goyal, M. A. 1996. Combined Genetic Adaptive Search (GeneAS) for Engineering Design Computer Science and Informatics, 26, pp. 30-45. In this operator it is performed on a single randomly chosen position of the real vector.")]
[StorableType("19F0F379-FCE8-43DE-B5B8-D8F2924D0F92")]
public class PolynomialOnePositionManipulator : RealVectorManipulator {
///
/// The contiguity parameter specifies the shape of the probability density function that controls the mutation. Setting it to 0 is similar to a uniform distribution over the entire manipulation range (specified by .
/// A higher value will shape the density function such that values closer to 0 (little manipulation) are more likely than values closer to 1 or -1 (maximum manipulation).
///
public ValueLookupParameter ContiguityParameter {
get { return (ValueLookupParameter)Parameters["Contiguity"]; }
}
///
/// The maximum manipulation parameter specifies the range of the manipulation. The value specified here is the highest value the mutation will ever add to the current value.
///
///
/// If there are bounds specified the manipulated value is restricted by the given lower and upper bounds.
///
public ValueLookupParameter MaximumManipulationParameter {
get { return (ValueLookupParameter)Parameters["MaximumManipulation"]; }
}
[StorableConstructor]
protected PolynomialOnePositionManipulator(StorableConstructorFlag _) : base(_) { }
protected PolynomialOnePositionManipulator(PolynomialOnePositionManipulator original, Cloner cloner) : base(original, cloner) { }
///
/// Initializes a new instance of with two parameters
/// (Contiguity and MaximumManipulation).
///
public PolynomialOnePositionManipulator()
: base() {
Parameters.Add(new ValueLookupParameter("Contiguity", "Specifies whether the manipulation should produce far stretching (small value) or close (large value) manipulations with higher probability. Valid values must be greater or equal to 0.", new DoubleValue(2)));
Parameters.Add(new ValueLookupParameter("MaximumManipulation", "Specifies the maximum value that should be added or subtracted by the manipulation. If this value is set to 0 no mutation will be performed.", new DoubleValue(1)));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new PolynomialOnePositionManipulator(this, cloner);
}
///
/// Performs the polynomial mutation on a single position in the real vector.
///
/// The random number generator to use.
/// The vector that should be manipulated.
/// A parameter describing the shape of the probability density function which influences the strength of the manipulation.
/// The maximum strength of the manipulation.
public static void Apply(IRandom random, RealVector vector, DoubleValue contiguity, DoubleValue maxManipulation) {
if (contiguity.Value < 0) throw new ArgumentException("PolynomialOnePositionManipulator: Contiguity value is smaller than 0", "contiguity");
int index = random.Next(vector.Length);
vector[index] += Apply(random, contiguity.Value) * maxManipulation.Value;
}
public static double Apply(IRandom random, double contiguity) {
double u = random.NextDouble(), delta = 0;
if (u < 0.5) {
delta = Math.Pow(2 * u, 1.0 / (contiguity + 1)) - 1.0;
} else if (u >= 0.5) {
delta = 1.0 - Math.Pow(2.0 - 2.0 * u, 1.0 / (contiguity + 1));
}
return delta;
}
///
/// Checks the availability of the parameters and forwards the call to .
///
/// The random number generator to use.
/// The vector of real values to manipulate.
protected override void Manipulate(IRandom random, RealVector realVector) {
if (ContiguityParameter.ActualValue == null) throw new InvalidOperationException("PolynomialOnePositionManipulator: Parameter " + ContiguityParameter.ActualName + " could not be found.");
if (MaximumManipulationParameter.ActualValue == null) throw new InvalidOperationException("PolynomialOnePositionManipulator: Parameter " + MaximumManipulationParameter.ActualName + " could not be found.");
Apply(random, realVector, ContiguityParameter.ActualValue, MaximumManipulationParameter.ActualValue);
}
}
}