Table 10.

Hyper parameter selection by the different optimization algorithms.

Algorithm	No of epochs	Hidden layers	Learning rate	Batch size	Max depth
GRU + PSO	392	110	0.002	60	9
GRU + ACO	321	112	0.002	59	9
GRU + BAT	290	109	0.002	58	12
GRU + FF	234	106	0.002	57	10
GRU + RSA	230	103	0.0010	57	9
GRU + SHO	229	102	0.0001	56	8
GRU + HHO	222	090	0.0001	54	8
GRU + LCHHOA (proposed model)	200	084	0.0001	45	6