Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 22

Comparison of performance on DTLZ6 after 20000 FEs.

DTLZ6		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	1.4560𝑒−001	2.2293𝑒−002	3.0709𝑒−002	4.1934𝑒−001
	Median	1.1240𝑒−001	2.2006𝑒−002	3.1585𝑒−002	2.7839𝑒−001
	Best	5.4431𝑒−002	1.8476𝑒−002	2.1425𝑒−002	1.2079𝑒−001
	Worst	4.6437𝑒−001	2.7389𝑒−002	3.9060𝑒−002	1.9577𝑒+000
	Std	1.1962𝑒−001	2.8880𝑒−003	4.9988𝑒−003	5.4684𝑒−001
Diversity metric	Average	5.1947𝑒−001	5.2313𝑒−001	5.2114𝑒−001	5.8184𝑒−001
	Median	5.1032𝑒−001	5.2860𝑒−001	5.1470𝑒−001	5.9360𝑒−001
	Best	4.9349𝑒−001	4.7949𝑒−001	4.9429𝑒−001	4.9585𝑒−001
	Worst	5.4816𝑒−001	5.8122𝑒−001	5.8158𝑒−001	6.7556𝑒−001
	Std	1.9948𝑒−002	3.2645𝑒−002	2.9098𝑒−002	5.8605𝑒−002