Investigation of Effectiveness of Shuffled Frog-Leaping Optimizer in Training a Convolution Neural Network

Table 3

The initial parameters of algorithms.

Algorithm	Parameter	Value
SFL	Maximum permitted change in a frog’s location	10
	Number of memeplex	20
	Number of frogs	30
ACO	Pheromone update constant (Q)	15
	Global pheromone decay rate (pg)	0.7
	Visibility sensitivity (β)	7
	Population size	70
	Number of ants	15
	Maximum number of iterations	35
	Local pheromone decay rate (pt)	0.6
	Initial pheromone (τ)	1e-06
	Pheromone sensitivity (α)	1
	Pheromone constant (q)	1
BFSO	Probability of elimination	0.1
	Spreading percentage %σ	0.4
	Population size	60
	Number of bacteria	20
	Maximum number of iterations	35
WHO	Strategies	Decreasing the value of a
	Whales attacking	Encircling
	Max a	5
	Probability of choosing spiral model	P ∈ [0, 1]
	Probability of choosing shrinking encircling	p ∈ [0, 1]
	Population size	70
	Number of whales	15
	Maximum number of iterations	35