A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering

Table 2

Various SMC algorithms’ parameters that are adjusted experimentally.

Algorithms	Parameters		Value
GA	Quantity of chromosomes		40
	Chromosome length		Depends on the quantity of modules
	Rate of crossover		0.80
	Rate of mutation		0.05
	Quantity of iterations		100
PSO	Quantity of particles		40
	Inertia weight		0.80
	Damping ratio of inertia weight		0.99
	Particle.C1 and Particle.C2		[1.5, 1.7]
	Number of iterations		100
SCSO	Quantity of cats		40
	Range of sensitivity (rG)		[0, 2]
	Range of phases control (R)		[−2rG, 2rG]
			0.80
			0.04
COA	Quantity of nests		40
	Lavy distribution parameter		1.50
	Length of step		0.01
	Number of iterations		100
HOA	Quantity of horses		40
			0.90
			0.50
			0.20
			0.10
			0.20
	,		0.10
			0.05