Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 8

Comparison of performance on ZDT2 after 20000 FEs.

ZDT2		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	8.6101𝑒−002	1.0592𝑒−004	1.0238𝑒−003	1.1274𝑒−001
	Median	7.2305𝑒−002	9.5653𝑒−005	1.0092𝑒−003	9.8693𝑒−002
	Best	4.3562𝑒−002	7.4842𝑒−005	6.2493𝑒−004	3.5737𝑒−002
	Worst	3.1215𝑒−001	1.4481𝑒−004	1.4683𝑒−003	3.3153𝑒−001
	Std	9.1252𝑒−001	2.5134𝑒−005	2.6058𝑒−004	8.5585𝑒−002
Diversity metric	Average	8.4325𝑒−001	3.4310𝑒−001	3.1718𝑒−001	5.5863𝑒−001
	Median	8.5472𝑒−001	3.4839𝑒−001	2.9621𝑒−001	5.1789𝑒−001
	Best	7.3456𝑒−001	2.9056𝑒−001	3.7037𝑒−001	4.4479𝑒−001
	Worst	9.3123𝑒−001	3.8678𝑒−001	2.0841𝑒−002	1.0050𝑒+000
	Std	7.0645𝑒−002	3.1759𝑒−002	3.1718𝑒−001	1.6478𝑒−001