Table 4.

Parameter settings of the multi-objective algorithms. For all algorithms, archive size was set to 100, N = 100, Max_t = 1000.

Algorithms	Parameters	Values	Algorithms	Parameters	Values
MOEOSMA	Hybrid parameter z	0.5	MOPSO	Inertia weight w	0.5
	Mutation probability q	1		Damping rate	0.99
	Control volume V	1		Personal cognition coefficient c1	1
	Generation probability GP	0.5		Social cognition coefficient c2	2
	Exploration factor a1	2		Number of grids	7
	Exploitation factor a2	2		Grid inflation rate α	0.1
MOSMA	Constant z	0.03		Leader selection pressure β	2
MOMPA	Constant p	0.5		Deletion selection pressure γ	2
	Constant FADs	0.2		Mutation rate μ	0.1
MOGWO	Grid inflation rate α	0.1	MODA	Inertia weight w	0.9–0.7
	Number of grids n	10	MOMVO	Minimum probability WEPmin	0.2
	Leader selection pressure β	4		Maximum probability WEPmax	1
	Deletion selection pressure γ	2	MOEA/D	Crossover parameter γ	0.5
MOALO	Parameter less	NA	MSSA	Parameter less	NA