nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/encode/EvalElement.java

   1 /**
   2  * Description: provide the information for evaluating of a response (target)
   3  *
   4  * Author          Create/Modi     Note
   5  * Xiaofeng Xie    Mar 1, 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
  21 package net.adaptivebox.encode;
  22
  23 import net.adaptivebox.global.BasicBound;
  24
  25 public class EvalElement {
  26
  27   // The weight for each response (target)
  28   private static final double weight = 1;
  29   /**
  30    * The expected range of the response value, forms the following objective:
  31    *
  32    * <pre>
  33    * NO minValue   maxValue : THE ELEMENT OF BasicBound
  34    * 1  MINDOUBLE, MINDOUBLE: the minimize objective
  35    * 2  MAXDOUBLE, MAXDOUBLE: the maximize objective
  36    * 3  MINDOUBLE, v        : the less than constraint  {@literal (<v)}
  37    * 4  v        , MAXDOUBLE: the larger than constraint {@literal (>v)}
  38    * 5  v1       , v2       : the region constraint, i.e. belongs to [v1, v2]
  39    *
  40    * OPTIM type: the No.1 and No.2
  41    * CONS  type: the last three
  42    * </pre>
  43    */
  44   public BasicBound targetBound = new BasicBound();
  45
  46   public boolean isOptType() {
  47     return ((targetBound.minValue == BasicBound.MINDOUBLE && targetBound.maxValue == BasicBound.MINDOUBLE)
  48         || (targetBound.minValue == BasicBound.MAXDOUBLE && targetBound.maxValue == BasicBound.MAXDOUBLE));
  49   }
  50
  51   public double evaluateCONS(double targetValue) {
  52     if (targetValue < targetBound.minValue) {
  53       return weight * (targetBound.minValue - targetValue);
  54     }
  55     if (targetValue > targetBound.maxValue) {
  56       return weight * (targetValue - targetBound.maxValue);
  57     }
  58     return 0;
  59   }
  60
  61   public double evaluateOPTIM(double targetValue) {
  62     if (targetBound.maxValue == BasicBound.MINDOUBLE) { // min mode
  63       return weight * targetValue;
  64     } else { // max
  65       return -weight * targetValue;
  66     }
  67   }
  68 }