[Retracted] Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation

Table 2

Performance comparison of GA, LARES, CAGA, and CGA.

Function	Reference	Best value				Average value		Mean algebra
		GA	LARES	CAGA	CGA	CAGA	CGA	CAGA	CGA
F2	0	0.00103	0.00051	6.3056e − 012	9.6253e−009	3.49251e − 011	2.5749e − 008	161.70	39.96
F3	3	3.03713	3.00000	3.00000	3.00000	3.00000	3.00000	75.5	40.43
F6	0.998	1.24888	1.13103	0.998004	0.998004	0.998004	0.998004	116.2	109.83
F7	0	9.423925	0.00032	5.9009e − 004	8.9394e – 006	7.4938e − 004	1.4909e − 005	41015.62	37249.8
F8	7	7.00144	7.00064	7.00000	7.00000	7.00000	7.00000	19.18	19.37
F9	−186.73	−185.588	−186.604	−186.7309	−186.7309	−186.6914	−186.6267	8663.4	8906.53
F10	1	1.00559	1.00786	1.00000	1	1.00150	1.000584	7374.9	2482.37
F11	0	0.01058	0.00247	2.4399e − 009	1.4891e − 010	3.6361e − 007	5.8789e − 009	987.2	526.1
F12	0	0.00079	0.00064	2.3842e − 006	3.4605e − 005	2.3842e − 006	0.00014	340.9	10746.37
F13	0	0.00153	0.00153	1.1921e − 005	4.1921e − 005	1.1921e − 005	0.00013	194.7	10642.73
F14	0	0	0	1.7217e − 019	1.1809e − 017	3.3200e − 017	2.5825e − 017	23.6	77.67
F15	0	0.19275	0.08927	0.15315	3.5051e − 008	0.19605	0.01170	200000	170477.1
F16	0	14.53298	4.9654	3.28032	5.1994e − 007	8.40576	1.8529e − 006	200000	15027.3