/** * 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) private 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) * 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(targetValuetargetBound.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; } } }