An Improved CNN Architecture to Diagnose Skin Cancer in Dermoscopic Images Based on Wildebeest Herd Optimization Algorithm

Table 1

The parameter setting of the utilized optimization algorithms.

Algorithm	Parameter	Value
ChOA [22]	and	Random
		Chaotic
BBO [23]	Habitat modification probability	1
	Immigration probability bounds per gene	[0, 1]
	Step size for numerical integration of probabilities	1
	Max immigration (I) and Max emigration (E)	1
	Mutation probability	0.005
LS [24]	F	0.6
	L	1
		20
WHO [20]		0.2
		0.7
		0.15
		0.7