1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
|
/**
* Description: provide the information for the search space (S)
*
* Author Create/Modi Note
* Xiaofeng Xie Mar 2, 2003
* Xiaofeng Xie May 11, 2004
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* This library 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
* Lesser General Public License for more details.
*
* Please acknowledge the author(s) if you use this code in any way.
*
* @References:
* [1] Zhang W J, Xie X F, Bi D C. Handling boundary constraints for numerical
* optimization by particle swarm flying in periodic search space. Congress
* on Evolutionary Computation, Oregon, USA, 2004
* especially for particle swarm agent
*/
package net.adaptivebox.space;
public class DesignSpace {
// The information of all the dimension
private DesignDim[] dimProps;
public DesignSpace(int dim) {
dimProps = new DesignDim[dim];
}
public void setElemAt(DesignDim elem, int index) {
dimProps[index] = elem;
}
public int getDimension() {
if (dimProps == null) {
return -1;
}
return dimProps.length;
}
public double boundAdjustAt(double val, int dim) {
return dimProps[dim].paramBound.boundAdjust(val);
}
public void mutationAt(double[] location, int i) {
location[i] = dimProps[i].paramBound.getRandomValue();
}
public double getMagnitudeIn(int dimensionIndex) {
return dimProps[dimensionIndex].paramBound.getLength();
}
public void initializeGene(double[] tempX) {
for (int i = 0; i < tempX.length; i++)
tempX[i] = dimProps[i].paramBound.getRandomValue(); // Global.RandomGenerator.doubleRangeRandom(9.8, 10);
}
public void getMappingPoint(double[] point) {
for (int i = 0; i < getDimension(); i++) {
point[i] = dimProps[i].paramBound.annulusAdjust(point[i]);
if (dimProps[i].isDiscrete()) {
point[i] = dimProps[i].getGrainedValue(point[i]);
}
}
}
}
|
