Table 6.

The selected hyperparameters of a CNN using three different runs of GWO optimizer.

GWO parameters		Selected CNN parameters					Fitness score
		LR	EP	BS	N	M
Run1	Population size = 50	0.001	60	64	85	40	0.94632
	No of iterations = 10
Run2	Population size = 60	0.08	60	64	168	32	0.91252
	No of iterations = 20
Run3	Population size = 70	0.04	80	50	85	32	0.91948
	No of iterations = 30

Where LR Learning Rate, EP Epochs, BS Batch Size, N Number of filters in the convolutional layer, M Number of neurons in the dense layer.