Tent Chaotic Map and Population Classification Evolution Strategy-Based Dragonfly Algorithm for Global Optimization

Table 4

Comparison between PSO, DA, ADDA, and TPDA on optimizing 30-dimension benchmark functions in terms of mean and standard deviation (std).

Function	Statistical indicator	PSO	DA	ADDA	TPDA
F1	Mean	317.4289	1.6750e + 03	1.6190	3.1090e − 113
	Std	159.5475	897.2128	3.8681	1.7022e − 112
F2	Mean	485.4333	1.6975e + 03	58.7333	0
	Std	280.2239	634.2660	42.5651	0
F3	Mean	55.4690	255.9297	3.4596e − 20	1.1814e − 117
	Std	25.7599	134.9058	1.8147e − 19	6.1293e − 117
F4	Mean	0.5209	0.5477	0.0093	0.0016
	Std	0.2669	0.4245	0.0064	0.0012
F5	Mean	65.9626	89.9382	1.0347e − 06	5.1383e − 116
	Std	28.3841	33.5209	5.5414e − 06	2.8144e − 115
F6	Mean	4.4593e + 03	9.4722e + 03	4.1692e + 04	4.8513e − 116
	Std	1.7259e + 03	4.1561e + 03	8.2496e + 03	2.6470e − 115
F7	Mean	25.5981	23.3415	8.2786	4.6316e − 57
	Std	6.1643	6.2299	2.2312	2.5073e − 56
F8	Mean	543.5161	546.0553	636.6015	9.6777e − 60
	Std	122.1212	138.1860	171.7153	2.3751e − 59
F9	Mean	2.9214e + 04	2.2629e + 05	361.7568	17.2295
	Std	2.8817e + 04	1.8225e + 05	688.4938	13.4857
F10	Mean	259.5170	2.6334e + 03	0.6254	0.3015
	Std	183.2417	2.5474e + 03	0.1709	0.1878
F13	Mean	5.8075e + 03	7.5170e + 03	978.8497	54.0741
	Std	569.5470	688.7450	285.9193	227.9094
F14	Mean	109.5624	159.1133	113.0025	0
	Std	14.6572	36.9293	22.4131	0
F17	Mean	6.6711	9.9386	4.1363	8.8818e − 16
	Std	1.2805	1.8382	0.5570	0
F18	Mean	4.1909	15.8379	0.9724	0
	Std	2.0851	7.8267	0.0900	0