Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 18

Comparison of performance on DTLZ2 after 20000 FEs.

DTLZ2		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	1.6461𝑒−002	2.9095𝑒−003	1.0504𝑒−001	8.8402𝑒−002
	Median	1.6400𝑒−002	2.8372𝑒−003	1.0476𝑒−001	9.4425𝑒−002
	Best	1.3958𝑒−002	2.6826𝑒−003	9.5225𝑒−002	6.6176𝑒−002
	Worst	1.8900𝑒−002	3.3161𝑒−003	1.1362𝑒−001	1.0847𝑒−001
	Std	1.6644𝑒−003	2.3986𝑒−004	5.5136𝑒−003	1.3819𝑒−002
Diversity metric	Average	4.1713𝑒−001	4.1041𝑒−001	4.1786𝑒−001	6.2601𝑒−001
	Median	4.1918𝑒−001	4.0989𝑒−001	4.1565𝑒−001	6.1671𝑒−001
	Best	3.6375𝑒−001	3.9217𝑒−001	3.8277𝑒−001	3.8379𝑒−001
	Worst	4.8046𝑒−001	4.3465𝑒−001	4.7103𝑒−001	7.3020𝑒−001
	Std	3.6245𝑒−002	1.3692𝑒−002	2.7804𝑒−002	4.3631𝑒−002