Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 21

Comparison of performance on DTLZ6 after 10000 FEs.

DTLZ6		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	5.5914𝑒−001	2.9901𝑒−002	2.3412𝑒−002	6.6160𝑒−001
	Median	2.9461𝑒−002	2.7952𝑒−002	2.5935𝑒−002	2.8640𝑒−001
	Best	2.0189𝑒−002	1.9106𝑒−002	5.6145𝑒−003	1.6724𝑒−001
	Worst	4.8909𝑒+000	3.7997𝑒−002	3.4578𝑒−002	3.1497𝑒+000
	Std	1.5271𝑒+000	6.7314𝑒−003	8.1996𝑒−003	9.2366𝑒−001
Diversity metric	Average	5.4587𝑒−001	5.4715𝑒−001	5.2084𝑒−001	5.7305𝑒−001
	Median	5.4631𝑒−001	5.5144𝑒−001	4.9934𝑒−001	5.5839𝑒−001
	Best	4.7349𝑒−001	5.0172𝑒−001	4.6254𝑒−001	4.5813𝑒−001
	Worst	6.3240𝑒−001	6.0581𝑒−001	6.2609𝑒−001	7.0776𝑒−001
	Std	4.9975𝑒−002	2.9597𝑒−002	5.1694𝑒−002	7.2624𝑒−002