Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 14

Comparison of performance on ZDT6 after 20000 FEs.

ZDT6		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	4.3038𝑒−005	6.7609𝑒−004	1.4469𝑒−002	4.6871𝑒−001
	Median	4.2428𝑒−005	2.4510𝑒−005	2.4791𝑒−005	4.1021𝑒−001
	Best	3.8692𝑒−006	2.1576𝑒−005	2.2898𝑒−005	7.1529𝑒−002
	Worst	4.9351𝑒−003	6.5408𝑒−003	9.1647𝑒−002	1.2285𝑒+000
	Std	2.9946𝑒−004	2.0606𝑒−003	2.9694𝑒−002	3.7985𝑒−001
Diversity metric	Average	7.7320𝑒−001	4.9926𝑒−001	6.3819𝑒−001	1.1519𝑒+000
	Median	7.3399𝑒−001	4.5840𝑒−001	4.1180𝑒−001	1.1497𝑒+000
	Best	6.4696𝑒−001	4.4708𝑒−001	3.5906𝑒−001	1.0412𝑒+000
	Worst	1.0856𝑒+000	8.1645𝑒−001	1.2848𝑒+000	1.2939𝑒+000
	Std	1.2741𝑒−001	1.1284𝑒−001	3.9246𝑒−001	8.1261𝑒−002