1
#region License Information
3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
5 * This file is part of HeuristicLab.
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 * GNU General Public License for more details.
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
23 using HeuristicLab
.Common
;
24 using HeuristicLab
.Core
;
27 namespace HeuristicLab
.Optimization
.Operators
{
29 /// Modifies the value by exponential fall (steep fall initially, slow fall to the end) or rise (slow rise initially, fast rise to the end).
31 [Item("ExponentialDiscreteDoubleValueModifier",
32 @"Modifies the value by exponential fall (steep fall initially, slow fall to the end) or rise (slow rise initially, fast rise to the end).
33 This uses a standard exponential distribution and yields a base which is implicitly derived by start and end indices and values.")]
34 [StorableType("9DEDC020-F9A5-4067-AC23-7A29B656E818")]
35 public class ExponentialDiscreteDoubleValueModifier
: DiscreteDoubleValueModifier
{
37 protected ExponentialDiscreteDoubleValueModifier(StorableConstructorFlag _
) : base(_
) { }
38 protected ExponentialDiscreteDoubleValueModifier(ExponentialDiscreteDoubleValueModifier original
, Cloner cloner
) : base(original
, cloner
) { }
39 public ExponentialDiscreteDoubleValueModifier() : base() { }
41 public override IDeepCloneable
Clone(Cloner cloner
) {
42 return new ExponentialDiscreteDoubleValueModifier(this, cloner
);
46 protected override double Modify(double value, double startValue
, double endValue
, int index
, int startIndex
, int endIndex
) {
47 return Apply(value, startValue
, endValue
, index
, startIndex
, endIndex
);
51 /// Calculates a new value based on exponential decay or growth.
53 /// <exception cref="ArgumentException">Thrown when endValue or startValue or both are 0.</exception>
54 /// <param name="value">The last value.</param>
55 /// <param name="startValue">The start value.</param>
56 /// <param name="endValue">The end value.</param>
57 /// <param name="index">The current index.</param>
58 /// <param name="startIndex">The start index.</param>
59 /// <param name="endIndex">The end index.</param>
60 /// <returns>The new value.</returns>
61 public static double Apply(double value, double startValue
, double endValue
, int index
, int startIndex
, int endIndex
) {
62 if (endValue
<= 0 || startValue
<= 0) throw new ArgumentException("startValue and endValue must be greater than 0.");
63 double b
= Math
.Pow(endValue
/ startValue
, 1.0 / (endIndex
- startIndex
));
64 return startValue
* Math
.Pow(b
, index
- startIndex
);