#region License Information
/* HeuristicLab
* Copyright (C) 2002-2008 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.Core;
using HeuristicLab.Data;
using HeuristicLab.Random;
namespace HeuristicLab.ES {
///
/// Applies its sub operator a number of times depending on the ShakingFactor.
///
public class VariableStrengthRepeatingManipulator : OperatorBase {
///
public override string Description {
get { return @"Applies its suboperator a number of times depending on the ShakingFactor"; }
}
///
/// Initializes a new instance of with two variable
/// infos (Random and ShakingFactor).
///
public VariableStrengthRepeatingManipulator()
: base() {
AddVariableInfo(new VariableInfo("Random", "Pseudo random number generator", typeof(IRandom), VariableKind.In));
AddVariableInfo(new VariableInfo("ShakingFactor", "Determines the strength of the mutation (repeated application of the operator)", typeof(DoubleData), VariableKind.In));
}
///
/// Applies its suboperator a number of times depending on the ShakingFactor.
///
/// The current scope where to apply the operator.
/// A new , containing a specified number of
/// the same operations with the same operator, the number depending on the ShakingFactor.
public override IOperation Apply(IScope scope) {
IRandom random = GetVariableValue("Random", scope, true);
double shakingFactor = scope.GetVariableValue("ShakingFactor", true).Data;
NormalDistributedRandom N = new NormalDistributedRandom(random, 1.0, shakingFactor);
int strength = (int)Math.Ceiling(Math.Abs(N.NextDouble()));
if (strength == 0) strength = 1;
CompositeOperation co = new CompositeOperation();
co.ExecuteInParallel = false;
for (int i = 0; i < strength; i++) {
co.AddOperation(new AtomicOperation(SubOperators[0], scope));
}
return co;
}
}
}