Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

Table 4

Comparison of performance on FON after 20000 FEs.

FON		NSABC	MOABC	MOCLPSO	NSGA-II
Converge metric	Average	1.7538𝑒−003	2.1794𝑒−003	2.2194𝑒−003	1.9599𝑒−003
	Median	1.6810𝑒−003	2.2196𝑒−003	2.3107𝑒−003	2.2283𝑒−003
	Best	1.4394𝑒−003	1.8691𝑒−003	1.5167𝑒−003	4.8366𝑒−004
	Worst	2.3287𝑒−003	2.4895𝑒−003	3.0426𝑒−003	3.1664𝑒−003
	Std	2.7467𝑒−004	2.1335𝑒−004	4.4931𝑒−004	9.8050𝑒−004
Diversity metric	Average	3.0233𝑒−001	2.3371𝑒−001	2.5764𝑒−001	8.2412𝑒−001
	Median	2.9958𝑒−001	2.3321𝑒−001	2.5815𝑒−001	8.3561𝑒−001
	Best	2.8358𝑒−001	1.9060𝑒−001	2.3411𝑒−001	6.8418𝑒−001
	Worst	3.4571𝑒−001	2.9052𝑒−001	2.9385𝑒−001	9.4643𝑒−001
	Std	1.8006𝑒−002	3.2232𝑒−002	2.0916𝑒−002	8.5596𝑒−002