Multiobjective Optimization Using Cross-Entropy Approach

Table 3

Mean (first row) and variance (second row) of the diversity metric Δ.

Algorithm	SCH	FON	POL	KUR	ZDT1	ZDT2	ZDT3	ZDT4	ZDT6
CE method with RES	1.130705	0.427151	0.984515	0.630363	0.867578	0.754868	0.733369	0.736887	0.767926
CE method with FCM		0.2504			0.0921	0.1777	0.1686	0.5697	1.0459
NSGA-II	0.477899	0.378065	0.452150	0.411477	0.390307	0.430776	0.738540	0.702612	0.668025
Real coded	0.003471	0.000639	0.002868	0.000992	0.001876	0.004721	0.019706	0.064648	0.009923
NSGA-II	0.449265	0.395131	0.503721	0.442195	0.463292	0.435112	0.575606	0.479475	0.644477
Binary coded	0.002062	0.001314	0.004656	0.001498	0.041622	0.024607	0.005078	0.009841	0.035042
SPEA	1.021110	0.792352	0.972783	0.852990	0.784525	0.755148	0.672938	0.798463	0.849389
	0.004372	0.005546	0.008475	0.002619	0.004440	0.004521	0.003587	0.014616	0.002713
PEAS	1.063288	1.162528	1.020007	1.079838	1.229794	1.165942	0.789920	0.870458	1.153052
	0.002868	0.008945	0	0.013772	0.004839	0.007682	0.001653	0.101399	0.003916