Table 2.

Average parameters at various optimization techniques with different features for schizophrenia cases.

Optimization methods	Parameters	DFA	Hurst	RQA	Sample entropy	Fractal dimension	Kolmogorov complexity	Hjorth	LZC	LLE
Artificial flora	Mean	1.947	0.797	0.895	1.0434	0.9192	0.9182	0.922	0.922	0.72722
	Variance	6.1955	0.00198	8.215E−05	0.9472	7.331E−05	0.00011	4.82E−09	3.393E−08	0.00382
	Skewness	2.7591	−0.0952	0.1699	3.4882	−7.9156063	−31.6135	4.8058	1.162	0.66921
	Kurtosis	10.378	−0.3245	−0.00067	16.5549	139.9124	998.7822	25.231	2.795	0.34590
Glowworm swarm	Mean	3.60521	0.45140	0.528535	3.20544	1.109916	2.762614	0.775	0.874	0.43363
	Variance	1.40291	0.00050	0.000336	0.18103	0.019184	0.846133	0.00022	3.85E−06	0.000213
	Skewness	1.83474	0.18256	−0.0874	−0.02972	0.21627	1.943948	0.53419	−0.373	0.538756
	Kurtosis	4.37384	−0.12708	−0.09477	−0.32559	−0.17723	4.561639	0.0462	11.51	0.5087
Black hole	Mean	0.04486	1.64093	0.38062	0.08666	0.471683	0.193926	0.246	0.209	1.409073
	Variance	0.01454	0.827833	0.000476	0.020484	0.054866	0.00054	1.09E−05	6.7E−06	0.102673
	Skewness	−0.911996	2.338573	0.602759	−0.25059	2.264549	31.66492	−2.561	9.701	1.243274
	Kurtosis	1.689095	8.655974	0.923601	−1.38165	8.043591	1003.234	5.236	156.25	3.155236
Monkey search	Mean	0.360178	0.64032	0.142771	0.139355	0.000866	0.540915	0.933	0.000151	2.272099
	Variance	0.01044	0.449776	0.000665	0.001762	2.15E−07	0.006902	0.00703	1.9E−12	85.4282
	Skewness	0.232422	2.867251	0.441075	0.154336	0.980327	−0.20562	0.5348	0.799874	11.61515
	Kurtosis	−0.06264	13.54124	0.384905	−0.46198	1.1591	−0.30885	0.0581	10.16941	167.628