Chaotic Fruit Fly Algorithm for Solving Engineering Design Problems

Table 3

The average error of the 25 CEC’2005 benchmark functions as determined by CFFA and comparing algorithms.

Function	PSO	IPOP-CMA-ES	CHC	SSGA	SS-BLX	SS-Arit	DE-Bin	DE-Exp	SaDE	CFFA
F1	1.234E-4	0	2.464	8.420E-9	34.02	1.064	7.716E-9	8.260E-9	8.416E-9	0
F2	0.02595	0	0.0118	8.719E-5	1.730	5.282	8.342E-9	8.181E-9	8.208E-9	0
F3	51740	0	269900	79480	184400	253500	42.33	99.35	6560	20.8036
F4	2.488	2932	91.9	2.585E-3	6.228	5.755	7.686E-9	8.350E-9	8.087E-9	0
F5	409.5	8.104E-10	264.1	134.3	2.185	14.43	8.608E-9	8.514E-9	8.640E-9	2.600E-5
F6	731	0	1416000	6.171	114.5	494.5	7.956E-9	8.391E-9	0.01612	0.635
F7	26.78	1267	1269	1271	1966	1908	1266	1265	1263	4.831
F8	20.43	20.01	20.34	20.37	20.35	20.36	20.33	20.38	20.32	14.54
F9	14.38	28.41	5.886	7.286E-9	4.195	5.960	4.546	8.151E-9	8.330E-9	0.000
F10	14.04	23.27	7.123	17.12	12.39	21.79	12.28	11.18	15.48	4.541
F11	5.590	1.343	1.599	3.255	2.929	2.858	2.434	2.067	6.796	3.094
F12	636.2	212.7	706.2	279.4	150.6	241.1	106.1	63.09	56.34	5.732
F13	1.503	1.134	82.97	67.13	32.45	54.79	1.573	64.03	70.70	1.052
F14	3.304	3.775	2.073	2.264	2.796	2.970	3.073	3.158	3.415	2.501
F15	339.8	193.4	275.1	292	113.6	128.8	372.2	294	84.23	0
F16	133.3	117	97.29	105.3	104.1	113.4	111.7	112.5	122.7	83.85
F17	149.7	338.9	104.5	118.5	118.3	127.9	142.1	131.2	138.7	107.3
F18	851.2	557	879.9	806.3	766.8	657.8	509.7	448.2	532	479.2
F19	849.7	529.2	879.8	889.9	755.5	701	501.2	434.1	519.5	458.1
F20	850.9	526.4	896	889.3	746.3	641.1	492.8	418.8	476.7	335.1
F21	913.8	442	815.8	852.2	485.1	500.5	524	542	514	394.5
F22	807.1	764.7	774.2	751.9	682.8	694.1	771.5	772	765.5	632.7
F23	1028	853.9	1075	1004	574	582.8	633.7	582.4	650.9	594.7
F24	412	610.1	295900	236	251.3	201.1	206	202	200	210.5
F25	509.9	1818	1764	1747	1794	1804	1744	1742	1738	274.3