Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 3

Comparison of performance on FON after 10000 FEs.

FON		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	1.8273𝑒−003	2.5970𝑒−003	2.5497𝑒−003	1.3845𝑒−003
	Median	1.7880𝑒−003	2.5151𝑒−003	2.5663𝑒−003	1.0898𝑒−003
	Best	1.4036𝑒−003	2.1860𝑒−003	2.2776𝑒−003	4.7267𝑒−004
	Worst	2.4229𝑒−003	3.2428𝑒−003	2.8616𝑒−003	3.1236𝑒−003
	Std	2.9514𝑒−004	3.1462𝑒−004	1.6583𝑒−004	9.5901𝑒−004
Diversity metric	Average	2.9810𝑒−001	2.9219𝑒−001	2.9647𝑒−001	7.9613𝑒−001
	Median	2.9468𝑒−001	2.9295𝑒−001	2.9470𝑒−001	8.3509𝑒−001
	Best	2.6703𝑒−001	2.7029𝑒−001	2.5571𝑒−001	6.9076𝑒−001
	Worst	3.4473𝑒−001	3.2248𝑒−001	3.3743𝑒−001	9.2519𝑒−001
	Std	2.6981𝑒−002	1.7651𝑒−002	2.3500𝑒−002	9.1073𝑒−002