/** * 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.BasicBound; public class EvalElement { // The weight for each response (target) private static final 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 less than constraint  {@literal (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 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; } } }