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/**
* Description: For comparison of goodness in landscape with penalty method.
*
* @Applied domain: efficiently for ridge class feasible space (SF), such as
* the problem with equality constraints
*
* Author Create/Modi Note
* Xiaofeng Xie May 29, 2004
*
* @version 1.0
*
* [1] Runarsson T P, Yao X. Stochastic ranking for constrained evolutionary
* optimization. IEEE Trans. on Evolutionary Computation. 2000, 4 (3): 284-294
*
*/
package net.adaptivebox.goodness;
import net.adaptivebox.global.*;
public class PenaltyComparator implements IGoodnessCompareEngine {
public double Rg = 0;
public PenaltyComparator() {}
public PenaltyComparator(double rg) {
this.Rg = rg;
}
public double calcPenaltyValue(double fit1, double fit2) {
return fit1+Rg*fit2;
}
/**
* check the magnitude of two array, the frontial is more important
* Stoch ranking: array size = 2
**/
public int compare(double[] fit1, double[] fit2) {
return GlobalCompare.compare(calcPenaltyValue(fit1[1], fit1[0]), calcPenaltyValue(fit2[1], fit2[0]));
}
}
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