Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 11

Comparison of performance on ZDT4 after 10000 FEs.

ZDT4		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	2.1278𝑒+001	5.3904𝑒+000	N/A	3.2868𝑒+001
	Median	1.3447𝑒+001	5.2482𝑒+000	N/A	3.3219𝑒+001
	Best	7.0411𝑒+000	3.2012𝑒+000	N/A	2.9451𝑒+001
	Worst	5.4023𝑒+001	8.3100𝑒+000	N/A	3.6560𝑒+001
	Std	1.7517𝑒+001	1.6624𝑒+000	N/A	2.1154𝑒+000
Diversity metric	Average	9.2818𝑒−001	9.0817𝑒−001	N/A	9.8813𝑒−001
	Median	9.2668𝑒−001	8.9116𝑒−001	N/A	9.9170𝑒−001
	Best	8.9696𝑒−001	8.3111𝑒−001	N/A	9.6282𝑒−001
	Worst	9.6675𝑒−001	9.9888𝑒−001	N/A	1.0172𝑒+000
	Std	2.5872𝑒−002	6.5026𝑒−002	N/A	1.6292𝑒−002