nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java

   1 /**
   2  * Description: provide the information for the search space (S)
   3  *
   4  * Author          Create/Modi     Note
   5  * Xiaofeng Xie    Mar 2, 2003
   6  * Xiaofeng Xie    May 11, 2004
   7  *
   8  * This library is free software; you can redistribute it and/or
   9  * modify it under the terms of the GNU Lesser General Public
  10  * License as published by the Free Software Foundation; either
  11  * version 2.1 of the License, or (at your option) any later version.
  12  *
  13  * This library is distributed in the hope that it will be useful,
  14  * but WITHOUT ANY WARRANTY; without even the implied warranty of
  15  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
  16  * Lesser General Public License for more details.
  17  *
  18  * Please acknowledge the author(s) if you use this code in any way.
  19  *
  20  * @References:
  21  * [1] Zhang W J, Xie X F, Bi D C. Handling boundary constraints for numerical
  22  * optimization by particle swarm flying in periodic search space. Congress
  23  * on Evolutionary Computation, Oregon, USA, 2004
  24  * especially for particle swarm agent
  25  */
  26
  27 package net.adaptivebox.space;
  28
  29 public class DesignSpace {
  30   // The information of all the dimension
  31   private DesignDim[] dimProps;
  32
  33   public DesignSpace(int dim) {
  34     dimProps = new DesignDim[dim];
  35   }
  36
  37   public void setElemAt(DesignDim elem, int index) {
  38     dimProps[index] = elem;
  39   }
  40
  41   public int getDimension() {
  42     if (dimProps == null) {
  43       return -1;
  44     }
  45     return dimProps.length;
  46   }
  47
  48   public double boundAdjustAt(double val, int dim) {
  49     return dimProps[dim].paramBound.boundAdjust(val);
  50   }
  51
  52   public void mutationAt(double[] location, int i) {
  53     location[i] = dimProps[i].paramBound.getRandomValue();
  54   }
  55
  56   public double getMagnitudeIn(int dimensionIndex) {
  57     return dimProps[dimensionIndex].paramBound.getLength();
  58   }
  59
  60   public void initializeGene(double[] tempX) {
  61     for (int i = 0; i < tempX.length; i++)
  62       tempX[i] = dimProps[i].paramBound.getRandomValue(); // Global.RandomGenerator.doubleRangeRandom(9.8, 10);
  63   }
  64
  65   public void getMappingPoint(double[] point) {
  66     for (int i = 0; i < getDimension(); i++) {
  67       point[i] = dimProps[i].paramBound.annulusAdjust(point[i]);
  68       if (dimProps[i].isDiscrete()) {
  69         point[i] = dimProps[i].getGrainedValue(point[i]);
  70       }
  71     }
  72   }
  73 }