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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-27 16:51:28 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-27 16:51:28 +0000
commit940b4d1848e8c70ab7642901a68594e8016caffc (patch)
treeeb72f344ee6c3d9b80a7ecc079ea79e9fba8676d /nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
parentInitial commit. (diff)
downloadlibreoffice-940b4d1848e8c70ab7642901a68594e8016caffc.tar.xz
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Adding upstream version 1:7.0.4.upstream/1%7.0.4upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+/**
+ * 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]);
+ }
+ }
+ }
+}