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

Table 1

Performance comparison of CGA with NQGA and CAGA.

Function	Reference	Best value			Average value			Mean algebra
		NQGA	CAGA	CGA	NQGA	CAGA	CGA	NQGA	CAGA	CGA
F1	0	8.1080e − 005	4.3368e − 017	1.3147e − 009	0.000527	4.3368e − 017	1.4949e − 007	17.80	26.13	3.60
F2	0	0.00003541	6.3056e − 012	9.6253e − 009	0.00043370	3.4925e − 011	2.5749e − 008	67.89	161.70	39.97
F3	3	3.000121	3.000000	3.000000	3.00058551	3.000000	3.000000	190.13	75.5	40.43
F4	0	1.8627e − 005	1.1369e − 012	2.2204e − 016	0.00024215	1.7896e − 06	1.3174e − 007	329.13	535.80	80.23
F5	−1.0316	1.031581	−1.031628	−1.031628	−1.0313833	−1.031628	−1.031628	79.82	83.54	57.43