#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.RealVector {
public class UniformOnePositionManipulator : RealVectorManipulatorBase {
public override string Description {
get { return "Uniformly distributed change of a single position of a real vector."; }
}
public UniformOnePositionManipulator() {
AddVariableInfo(new VariableInfo("Minimum", "Minimum of the sampling range for the vector element (included)", typeof(DoubleData), VariableKind.In));
AddVariableInfo(new VariableInfo("Maximum", "Maximum of the sampling range for the vector element (excluded)", typeof(DoubleData), VariableKind.In));
}
public static double[] Apply(IRandom random, double[] vector, double min, double max) {
double[] result = (double[])vector.Clone();
int index = random.Next(result.Length);
result[index] = min + random.NextDouble() * (max - min);
return result;
}
protected override double[] Manipulate(IScope scope, IRandom random, double[] vector) {
double min = GetVariableValue("Minimum", scope, true).Data;
double max = GetVariableValue("Maximum", scope, true).Data;
return Apply(random, vector, min, max);
}
}
}