Table 6.

The proposed meta-heuristic algorithm’s factors and their levels.

Algorithm	Factor	Levels				Best Level
		1	2	3		Prioritizing approach	Allocating approach
SA	A: Sub-iteration (Sub-it)	25	35	45		35	25
	B: Initial temperature ($T_0$)	1100	1200	1300		1200	1200
	C: Rate of reduction (R)	0.93	0.95	0.97		0.97	0.95
	D: Used methodology of local search (Tm)	Reversion	Swap	Insertion		Insertion	Swap
SEO	A: Rate of collecting data ($\alpha$)	0.21	0.29	0.32		0.29	0.21
	B: Rate of connecting attacker ($\beta$)	0.044	0.051	0.056		0.051	0.056
	C: Number of connections (N)	45	55	65		55	45
PSO	A: Population size (n-pop)	35	45	55		45	45
	B: Weight of particles (W)	0.55	0.65	0.85		0.55	0.65
	C: C1	1.2	1.3	1.4		1.4	1.3
	D: C2	1.3	1.4	1.5		1.4	1.4
	E: Maximum iteration (MaxIt)	150	250	350		150	250
SAPSO	A: Sub-iteration (Sub-it)	25	35	45		35	25
	B: Initial temperature ($T_0$)	1100	1200	1300		1200	1100
	C: Rate of reduction (R)	0.93	0.95	0.97		0.97	0.93
	D: Used methodology of local search (Tm)	Reversion	Swap	Insertion		Insertion	Reversion
	E: Weight of particles (W)	0.55	0.65	0.85		0.55	0.85
	F: C1	1.2	1.3	1.4		1.4	1.4
	G: C2	1.3	1.4	1.5		1.3	1.3
	H: Maximum iteration (MaxIt)	150	250	350		250	250
SASEO	A: Sub-iteration (Sub-it)	25	35	45		25	35
	B: Initial temperature ($T_0$)	1100	1200	1300		1100	1200
	C: Rate of reduction (R)	0.93	0.95	0.97		0.95	0.95
	D: Used methodology of local search (Tm)	Reversion	Swap	Insertion		Reversion	Reversion
	E: Rate of collecting data ($\alpha$)	0.21	0.29	0.32		0.29	0.21
	F: Rate of connecting attacker ($\beta$)	0.044	0.051	0.056		0.044	0.051
	G: Number of connections (N)	45	55	65		65	55
PSOSEO	A: Population size (n-pop)	35	45	55		55	45
	B: Weight of particles	0.55	0.65	0.85		0.65	0.85
	C: C1	1.2	1.3	1.4		1.3	1.4
	D: C2	1.3	1.4	1.5		1.5	1.4
	E: Maximum iteration (MaxIt)	150	250	350		150	150
	F: Rate of collecting data ($\alpha$)	0.21	0.29	0.32		0.21	0.21
	G: Rate of connecting attacker ($\beta$)	0.044	0.051	0.056		0.051	0.044
	H: Number of connections (N)	45	55	65		45	45