Multiobjective Optimization Using Cross-Entropy Approach

Table 2

Mean (first row) and variance (second row) of the convergence metric Υ.

Algorithm	SCH	FON	POL	KUR	ZDT1	ZDT2	ZDT3	ZDT4	ZDT6
CE method with RES	0.000140	0.002704	0.057898	0.162699	0.001282	0.005001	0.003321	0.002771	0.009426
	0	0.000005	0.005125	0.011727	0	0	0.000007	0.000007	0.000001
CE method with FCM		0.0026			0.0434	0.1002	0.0245	1.2056	0.0029
NSGA-II	0.003391	0.001931	0.015553	0.028964	0.033482	0.072391	0.114500	0.513053	0.296564
Real coded	0	0	0.000001	0.000018	0.004750	0.031689	0.007940	0.118460	0.013135
NSGA-II	0.002833	0.002571	0.017029	0.028951	0.000894	0.000824	0.043411	3.227636	7.806798
Binary coded	0.000001	0	0.000003	0.000016	0	0	0.000042	7.307630	0.001667
SPEA	0.003403	0.125692	0.037812	0.045617	0.001799	0.001339	0.047517	7.340299	0.221138
	0	0.000038	0.000088	0.00005	0.000001	0	0.000047	6.572516	0.000449
PEAS	0.001313	0.151263	0.030864	0.082085	0.126276	0.023872	0.023872	0.854816	0.085469
	0.000003	0.000905	0.000431	0.011989	0.008679	0.036877	0.000001	0.527238	0.006664