Table 1.

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

Optimization methods	Parameters	DFA	Hurst	RQA	Sample entropy	Fractal dimension	Kolmogorov complexity	Hjorth	LZC	LLE
Artificial flora	Mean	5.26965	0.413804	3.689182	0.869676	0.41564	28.75062	0.4173837	0.416007	0.4172
	Variance	22.07468	0.000125	0.961903	1.100939	8.993E−06	311.8672	2.16155E−10	1.17142E−07	3.939E−08
	Skewness	1.724139	−7.92829	−0.98766	2.580366	−4.544	1.179709	−6.72855	1.5590	−3.7801
	Kurtosis	5.223521	77.60378	0.927814	9.156234	30.0779	2.794157	49.372894	2.6237	20.561
Glowworm swarm	Mean	2.320835	0.733608	0.396612	1.731146	0.74723	0.609228	0.196184	0.269188	0.1472
	Variance	1.03798	0.021621	0.001249	0.049742	0.019817	0.033745	2.14E−06	5.15E−06	0.00035
	Skewness	1.903065	0.269845	1.104594	−0.20551	0.240516	2.29958	0.698693	0.408151	1.02453
	Kurtosis	4.714625	0.122304	2.464601	0.171725	0.032322	8.864067	0.245379	8.982281	2.43118
Black hole	Mean	2.710718	0.351737	1.363744	2.227318	0.524266	3.234247	1.75846	1.61927	1.59492
	Variance	0.123383	0.044921	0.011921	0.524723	0.055867	0.173108	0.000821	0.005577	0.110766
	Skewness	0.55226	−0.2302	−0.41571	1.004853	−0.45211	0.861662	1.221792	−11.2091	0.540982
	Kurtosis	0.090556	0.133614	−1.56857	4.072836	0.456164	0.082189	−0.46675	226.0795	1.804519
Monkey search	Mean	0.444369	0.000265	0.044637	0.066802	0.000593	0.786268	0.556733	0.740261	0.708153
	Variance	0.008841	6.47E−08	7.64E−05	0.000456	3.51E−07	0.005208	0.001272	0.003981	67.04619
	Skewness	0.0065	2.394641	0.614119	0.430518	2.170684	−0.33499	0.572398	19.90603	16.253
	Kurtosis	−0.13621	8.868095	0.241653	0.532993	6.750117	0.005905	0.058357	687.3791	282.403