Table 6.

Comparison of the present method with other optimisation based FS methods.

Algorithm	Pop size	Max_itn	% Acc	% inc(acc)	Features	% decrease	Fit Evn	hh:mm:ss
DenseNet	N/A	N/A	93.52	0.00	1920	0	N/A	N/A
GA [42]	15	15	97.70	4.18	642	66.56	730	00:05:19
GSA [48]	15	15	98.28	4.76	1346	29.89	256	00:03:26
GWO [44]	15	15	97.63	4.11	704	63.33	650	00:03:46
PSO [45]	15	15	97.63	4.11	918	52.19	256	00:03:15
HS [46]	10	15	98.34	4.82	642	66.56	271	00:03:09
MA [49]	15	15	98.34	4.82	1346	29.89	2521	00:37:29
BBA [47]	15	15	98.34	4.82	607	68.38	490	00:04:38
WOA [43]	15	15	98.34	4.82	812	57.71	720	00:04:12
SCA [50]	15	15	98.12	4.60	619	67.76	432	00:03:57
RDA [51]	15	15	98.03	4.51	402	79.06	1230	00:12:48
EO [52]	15	15	98.12	4.60	662	65.52	398	00:03:21
HS-MA [53]	20	20	98.34	4.82	912	52.50	12342	02:30:47
SSD-LAHC [54]	30	25	98.52	5.00	902	53.02	9234	02:19:53
HAGWO [55]	15	15	98.36	4.84	1236	35.62	2000	01:28:36
RTHS [56]	15	20	98.24	4.72	179	90.68	2925	00:10:32
HHO	10	15	98.42	4.90	476	75.21	776	00:02:30
$\mathbf{CHHO\; +\; SA}$	10	15	98.85	5.33	469	75.57	3861	00:48:12