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/**
* Description: provide the information for evaluating of a response (target)
*
* @ Author Create/Modi Note
* Xiaofeng Xie Mar 1, 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.
*/
package net.adaptivebox.encode;
import net.adaptivebox.global.*;
public class EvalElement {
//The weight for each response (target)
public double weight = 1;
/**
* The expected range of the response value, forms the following objective:
*
* NO minValue maxValue : THE ELEMENT OF BasicBound
* 1 MINDOUBLE, MINDOUBLE: the minimize objective
* 2 MAXDOUBLE, MAXDOUBLE: the maximize objective
* 3 MINDOUBLE, v : the lessthan constraint (<v)
* 4 v , MAXDOUBLE: the largethan constraint (>v)
* 5 v1 , v2 : the region constraint, i.e. belongs to [v1, v2]
*
* OPTIM type: the No.1 and No.2
* CONS type: the last three
*
*/
public BasicBound targetBound = new BasicBound();
public EvalElement() {};
public boolean isOptType() {
return ((targetBound.minValue==BasicBound.MINDOUBLE&&targetBound.maxValue==BasicBound.MINDOUBLE)||
(targetBound.minValue==BasicBound.MAXDOUBLE&&targetBound.maxValue==BasicBound.MAXDOUBLE));
}
public double evaluateCONS(double targetValue) {
if(targetValue<targetBound.minValue) {
return weight*(targetBound.minValue-targetValue);
}
if(targetValue>targetBound.maxValue) {
return weight*(targetValue-targetBound.maxValue);
}
return 0;
}
public double evaluateOPTIM(double targetValue) {
if(targetBound.maxValue==BasicBound.MINDOUBLE) { //min mode
return weight*targetValue;
} else { //max
return -weight*targetValue;
}
}
}
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