Table 1. Parameter Settings for Different Algorithms.

algorithms	MOPSO	NSGA-II	NSAPOA
parameters
population size	100	100	100
number of decision variable	96	96	96
number of iterations	10,000	10,000	10,000
global learning factor	1.7		1.5
mutation probability		0.1
cross probability		0.8
individual learning factor	1.7
maximum speed	2
factor of inertia	0.9		0.9
synergy factor			0.5
reference value of behavior conversion factor			0.5