Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 6

Comparison of performance on ZDT1 after 20000 FEs.

ZDT1		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	9.9284𝑒−002	1.5898𝑒−004	2.0862𝑒−003	1.1987𝑒−001
	Median	6.2180𝑒−002	1.6574𝑒−004	2.0433𝑒−003	6.6423𝑒−002
	Best	1.1536𝑒−003	9.8722𝑒−005	1.1930𝑒−003	2.6298𝑒−002
	Worst	5.3893𝑒−001	2.0130𝑒−004	2.8804𝑒−003	5.1706𝑒−001
	Std	1.5779𝑒−001	4.1578𝑒−005	5.1917𝑒−004	1.5036𝑒−001
Diversity metric	Average	8.0721𝑒−001	3.4882𝑒−001	3.1462𝑒−001	4.9501𝑒−001
	Median	8.0156𝑒−001	3.5069𝑒−001	3.1627𝑒−001	4.6744𝑒−001
	Best	6.0949𝑒−001	2.9640𝑒−001	2.9149𝑒−001	4.2585𝑒−001
	Worst	9.1995𝑒−001	4.1645𝑒−001	3.3882𝑒−001	6.5378𝑒−001
	Std	9.4948𝑒−002	3.5944𝑒−002	1.7857𝑒−002	7.4913𝑒−002