#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.Text;
using HeuristicLab.Core;
using HeuristicLab.Data;
namespace HeuristicLab.Operators {
///
/// Branch of (one or) two operators that have different probabilities to get executed.
///
public class StochasticBranch : OperatorBase {
///
public override string Description {
get { return @"TODO\r\nOperator description still missing ..."; }
}
///
/// Initializes a new instance of with two variable infos
/// (Random and Probability).
///
public StochasticBranch()
: base() {
AddVariableInfo(new VariableInfo("Random", "Pseudo random number generator", typeof(IRandom), VariableKind.In));
AddVariableInfo(new VariableInfo("Probability", "Probability to choose first branch", typeof(DoubleData), VariableKind.In));
}
///
/// Applies the operator of branch one with a specific probability on the given
/// , or - if existent - with another probability operator of branch two.
///
/// The scope to apply the operators on.
/// A new with either operator 1 or operator 2 applied
/// to the given or null.
public override IOperation Apply(IScope scope) {
IRandom random = GetVariableValue("Random", scope, true);
DoubleData probability = GetVariableValue("Probability", scope, true);
bool result = random.NextDouble() < probability.Data;
if ((result) && (SubOperators.Count > 0) && (SubOperators[0] != null))
return new AtomicOperation(SubOperators[0], scope);
else if ((!result) && (SubOperators.Count > 1) && (SubOperators[1] != null))
return new AtomicOperation(SubOperators[1], scope);
return null;
}
}
}