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/**
* Description: provide the information for evaluating a set of targets values
* into encoded information (For formation the goodness landscape by comparing)
*
* 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.
*
* @References:
* [1] Deb K. An efficient constraint handling method for genetic algorithms.
* Computer Methods in Applied Mechanics and Engineering, 2000, 186(2-4): 311-338
*/
package net.adaptivebox.encode;
public class EvalStruct {
// The information for evaluating all the responses
private EvalElement[] evalElems = null;
public EvalStruct(int elemsNum) {
evalElems = new EvalElement[elemsNum];
}
public void setElemAt(EvalElement dim, int index) {
evalElems[index] = dim;
}
// convert response values into encoded information double[2]
public void evaluate(double[] evalRes, double[] targetValues) {
evalRes[0] = evalRes[1] = 0;
for (int i = 0; i < evalElems.length; i++) {
if (evalElems[i].isOptType()) {
// The objectives (OPTIM type)
// The multi-objective will be translated into single-objective
evalRes[1] += evalElems[i].evaluateOPTIM(targetValues[i]);
} else {
// The constraints (CONS type)
// If evalRes[0] equals to 0, then be a feasible point, i.e. satisfies
// all the constraints
evalRes[0] += evalElems[i].evaluateCONS(targetValues[i]);
}
}
}
}
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