An Optimization Framework of Multiobjective Artificial Bee Colony Algorithm Based on the MOEA Framework

Table 1

Properties of the Walking Fish Group (WFG) test problems.

Problem	Number of objectives (m)	Number of variables (n)	Properties
WFG1	2, 3	(m − 1) + 10	Mixed, flat biased
WFG2	2, 3	(m − 1) + 10	Convex, disconnected, nonseparable
WFG3	2, 3	(m − 1) + 10	Linear, degenerate, nonseparable
WFG4	2, 3	(m − 1) + 10	Concave, multimodal
WFG5	2, 3	(m − 1) + 10	Concave, deceptive
WFG6	2, 3	(m − 1) + 10	Concave, nonseparable
WFG7	2, 3	(m − 1) + 10	Concave, parameter dependent biased
WFG8	2, 3	(m − 1) + 10	Concave, nonseparable, parameter dependent biased
WFG9	2, 3	(m − 1) + 10	Concave, nonseparable, deceptive, parameter dependent biased