Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection

Table 2

Comparison of HGDGWO vs. GWO on the standard deviation, average solution value, and minimum solution value.

	GWO			HGDGWO
	Std	Avg	Min	Std	Avg	Min
F1	3.61676-15	1.5-15	1.05-18	2.552352-16	1.12338-16	3.42886-19
F2	5.10353-10	6.14-10	6.83-11	8.22765-11	1.07201-10	9.51197-12
F3	1.970580354	0.440954	7.05-05	9.267454202	2.524266498	0.000739587
F4	0.001694846	0.00097	2.45-05	0.627079638	0.194208881	9.11492-05
F5	0.715412247	27.97616	26.07362	0.182727572	24.70065652	24.2318205
F6	0.549531169	2.059684	0.499325	4.27267-05	0.00015762	6.73711-05
F7	0.002960497	0.00557	0.000473	0.003179504	0.005692948	0.000678783
F8	864.6819996	-5568.98	-7969.82	754.9053776	-5331.436892	-8200.684424
F9	8.504768935	7.471358	1.14-13	4.948766233	5.290958807	2.27374-13
F10	4.48942-09	6.1-09	4.29-10	1.18025-09	1.40909-09	7.62208-11
F11	0.015974785	0.009848	1.11-16	0.018615668	0.015057363	0
F12	0.117619036	0.164508	0.011946	0.161051964	0.082169433	0.016214596
F13	0.291250797	1.478276	0.638533	0.841310501	2.012431478	0.777870006
F14	4.510397435	6.512168	0.998004	4.84147902	7.537556634	0.998003838
F15	0.009037547	0.005277	0.000308	0.009730784	0.006187126	0.000307503
F16	1.22631-07	-1.03163	-1.03163	1.13088-07	-1.031628364	-1.031628453
F17	0.000315241	0.397931	0.397887	1.68393-05	0.397898059	0.397887363
F18	20.41179783	8.508348	3	13.87682254	5.667577926	3.000000005
F19	0.127939439	-3.85542	-3.86278	0.00129102	-3.86190632	-3.862781552
F20	0.122039151	-3.24693	-3.32199	0.060913623	-3.282130038	-3.321995138
F21	2.772143142	-8.63898	-10.1531	2.959951738	-8.160509127	-10.15318311
F22	1.692839418	-9.95648	-10.4028	2.514675596	-9.309264282	-10.40292471
F23	2.047149492	-9.94358	-10.5363	2.972229183	-9.067428331	-10.53639376