An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies

Table16

Statistical results for CEC 2014 benchmark functions of different ELAPO ().

Function	Algorithm	Min.	Mean	Max.	Std
F26	ELAPO	2.4634E + 06	5.2161E + 06	1.3141E + 07	3.1061E + 06
	ELAPO1	2.2387E + 07	4.5695E + 07	6.2258E + 07	1.4119E + 07
	ELAPO2	2.4614E + 06	7.0362E + 06	1.5330E + 07	4.6938E + 06
F27	ELAPO	6.2568E + 02	7.8528E + 03	1.6154E + 04	4.6668E + 03
	ELAPO1	9.6085E + 07	2.1771E + 08	3.3325E + 08	6.8438E + 07
	ELAPO2	1.4145E + 03	1.0199E + 04	2.4210E + 04	7.4670E + 03
F28	ELAPO	4.8012E + 02	5.4633E + 02	6.3713E + 02	4.9530E + 01
	ELAPO1	7.2188E + 02	8.8310E + 02	9.4605E + 02	7.5816E + 01
	ELAPO2	4.0910E + 02	5.6801E + 02	6.3932E + 02	6.6571E + 01
F29	ELAPO	8.6796E + 05	2.0363E + 06	5.4231E + 06	1.2767E + 06
	ELAPO1	1.2845E + 06	3.6401E + 06	7.6576E + 06	2.5212E + 06
	ELAPO2	7.0505E + 05	2.1188E + 06	6.4199E + 06	1.7726E + 06
F30	ELAPO	2.5000E + 03	2.6451E + 03	2.7624E + 03	6.2281E + 01
	ELAPO1	2.5000E + 03	2.7849E + 03	3.4244E + 03	3.5275E + 02
	ELAPO2	2.5000E + 03	2.6186E + 03	2.6483E + 03	6.2509E + 01
F31	ELAPO	2.6000E + 03	2.6000E + 03	2.6000E + 03	1.0968E − 03
	ELAPO1	2.6000E + 03	2.6000E + 03	2.6000E + 03	6.0886E − 04
	ELAPO2	2.6000E + 03	2.6000E + 03	2.6000E + 03	4.5087E − 03
F32	ELAPO	2.7000E + 03	2.7000E + 03	2.7000E + 03	0.0000E + 00
	ELAPO1	2.7000E + 03	2.7000E + 03	2.7000E + 03	0.0000E + 00
	ELAPO2	2.7000E + 03	2.7000E + 03	2.7000E + 03	0.0000E + 00