Binary Equilibrium Optimization Algorithm for Computing Connected Domination Metric Dimension Problem

Table 1

Parameter setting.

Algorithms	Parameter name	Value
BEOA	Particles numbers	50
	Max iteration	300
	a1, a2, GP,	[2, 1, 0.5, [0–1]]
	Number of runs	20
BGWO	Search agents	50
	Max iteration	300
	a1, a2	[2, 0]
	Number of runs	20
BPSO	Swarm size	50
	C1	Increases linearly from 0.5 to 2.5
	C2	Decreases linearly from 2.5 to 0.5
	Inertia weight ()	0.8
	Max iteration	300
	Number of runs	20
BWOA	Population size	50
	a1	[2, 0]
	a2	−2, 1]
	b	1
	Max iteration	300
	Number of runs	20
BSMA	Population size	50
	z	0.03
	Max iteration	300
	Number of runs	20
BGOA	Population size	50
	GMaX	1
	GMin	0.004
	Max iteration	300
	Number of runs	20
BAEO	Population size	50
	r1,r2, and r	rand
	Max iteration	300
	Number of runs	20
BEHO	Elephants number	50
	Clans number	5
	Kept elephants number	2
	The scale factor α	0.5
	The scale factor β	0.1
	Max iteration	300
	Number of runs	20