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.*;
  24
  25 public class EvalElement {
  26
  27   //The weight for each response (target)
  28   public double weight = 1;
  29   /**
  30    * The expected range of the response value, forms the following objective:
  31    *
  32    * NO minValue   maxValue : THE ELEMENT OF BasicBound
  33    * 1  MINDOUBLE, MINDOUBLE: the minimize objective
  34    * 2  MAXDOUBLE, MAXDOUBLE: the maximize objective
  35    * 3  MINDOUBLE, v        : the lessthan constraint  (<v)
  36    * 4  v        , MAXDOUBLE: the largethan constraint (>v)
  37    * 5  v1       , v2       : the region constraint, i.e. belongs to [v1, v2]
  38    *
  39    * OPTIM type: the No.1 and No.2
  40    * CONS  type: the last three
  41    *
  42    */
  43   public BasicBound targetBound = new BasicBound();
  44
  45   public EvalElement() {};
  46
  47   public boolean isOptType() {
  48     return ((targetBound.minValue==BasicBound.MINDOUBLE&&targetBound.maxValue==BasicBound.MINDOUBLE)||
  49             (targetBound.minValue==BasicBound.MAXDOUBLE&&targetBound.maxValue==BasicBound.MAXDOUBLE));
  50   }
  51
  52   public double evaluateCONS(double targetValue) {
  53     if(targetValue<targetBound.minValue) {
  54       return weight*(targetBound.minValue-targetValue);
  55     }
  56     if(targetValue>targetBound.maxValue) {
  57       return weight*(targetValue-targetBound.maxValue);
  58     }
  59     return 0;
  60   }
  61
  62   public double evaluateOPTIM(double targetValue) {
  63     if(targetBound.maxValue==BasicBound.MINDOUBLE) { //min mode
  64       return weight*targetValue;
  65     } else { //max
  66       return -weight*targetValue;
  67     }
  68   }
  69 }
  70