Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 5

Comparison of performance on ZDT1 after 10000 FEs.

ZDT1		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	1.0497𝑒−001	2.3149𝑒−002	2.4169𝑒−003	2.2278𝑒−001
	Median	5.0541𝑒−002	2.2455𝑒−002	2.4156𝑒−003	1.4410𝑒−001
	Best	1.1793𝑒−002	1.8867𝑒−002	1.7281𝑒−003	7.2072𝑒−002
	Worst	3.0166𝑒−001	2.7309𝑒−002	3.1017𝑒−003	8.7348𝑒−001
	Std	1.1094𝑒−001	2.6057𝑒−003	4.9069𝑒−004	2.3806𝑒−001
Diversity metric	Average	6.5022𝑒−001	3.3061𝑒−001	2.9773𝑒−001	5.9362𝑒−001
	Median	6.4527𝑒−001	3.3108𝑒−001	2.9207𝑒−001	5.2694𝑒−001
	Best	5.5856𝑒−001	2.8898𝑒−001	2.6434𝑒−001	4.5810𝑒−001
	Worst	7.6730𝑒−001	3.7446𝑒−001	3.5083𝑒−001	9.1451𝑒−001
	Std	5.8890𝑒−002	2.4324𝑒−002	2.4574𝑒−002	1.5649𝑒−001