1 files changed, 73 insertions, 0 deletions
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
new file mode 100644
index 000000000..7d9307936
--- /dev/null
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
@@ -0,0 +1,73 @@
+/**
+ * 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]);
+      }
+    }
+  }
+}