Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 17

Comparison of performance on DTLZ2 after 10000 FEs.

DTLZ2		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	2.1341𝑒−002	7.6836𝑒−003	1.0976𝑒−001	8.7363𝑒−002
	Median	2.1827𝑒−002	6.7337𝑒−003	1.1294𝑒−001	8.9419𝑒−002
	Best	1.8141𝑒−002	4.9233𝑒−003	9.4400𝑒−002	6.0319𝑒−002
	Worst	2.4931𝑒−002	1.2708𝑒−002	1.1705𝑒−001	1.1310𝑒−001
	Std	2.3165𝑒−003	2.4500𝑒−003	7.4233𝑒−003	1.6418𝑒−002
Diversity metric	Average	4.1414𝑒−001	4.1177𝑒−001	4.1629𝑒−001	6.0903𝑒−001
	Median	4.1040𝑒−001	4.1107𝑒−001	4.1578𝑒−001	5.0881𝑒−001
	Best	3.9349𝑒−001	3.5942𝑒−001	3.7554𝑒−001	3.7879𝑒−001
	Worst	4.7171𝑒−001	4.7267𝑒−001	4.7455𝑒−001	7.3358𝑒−001
	Std	2.1464𝑒−002	3.1091𝑒−002	3.0363𝑒−002	1.8498𝑒−002