Wind Farm Layout Optimization Based on Dynamic Opposite Learning-Enhanced Sparrow Search Algorithm

Table 1

Parameter comparison table.

	Mean					AR
	F1	F3	F4	F7	HF4
,	2.996+07	7.020+03	1.161+02	2.709-02	8.058+02	12.2
,	7.651+06	1.430+04	1.114+02	1.232-02	3.908+03	12.0
,	7.117+06	1.381+04	1.170+02	2.702-02	1.792+03	12.0
,	7.438+06	1.562+04	7.166+01	1.723-02	9.451+02	7.8
,	1.265+07	1.054+04	7.718+01	2.704-02	1.718+03	11.2
,	5.933+06	2.238+04	1.319+02	3.447-02	2.420+03	13.8
,	5.751+06	2.640+04	1.403+02	1.477-02	1.096+04	13.6
,	7.557+06	1.285+04	7.934+01	1.234-02	7.672+02	7.6
,	7.119+06	2.881+04	7.976+01	1.232-02	2.181+03	11.8
,	5.862+06	1.002+04	6.954+01	1.232-02	2.113+02	1.8
,	6.980+06	1.020+04	1.441+02	1.478-02	4.309+02	9.2
,	5.928+06	2.622+04	7.716+01	1.233-02	1.408+03	6.8
,	6.984+06	2.702+04	1.351+02	7.396-02	1.422+03	15.2
,	1.285+07	2.499+04	8.031+01	2.713-02	1.899+03	15.0
,	8.202+06	2.802+04	7.672+01	1.477-02	1.670+03	11.6
,	2.161+07	2.728+04	7.799+01	7.396-02	1.914+03	16.4
,	7.140+06	7.601+04	8.150+01	9.857-02	1.506+03	15.8
,	8.057+06	2.514+04	7.614+01	7.396-02	1.172+04	14.8
,	8.759+06	2.486+04	1.014+02	7.393-02	3.183+03	16.0
,	6.071+06	4.723+04	1.051+02	9.865-02	2.520+03	17.0
,	8.767+06	4.368E+04	1.145+02	1.232-02	2.689+04	17.0
,	5.996+06	2.065E+04	7.877+01	2.216-02	1.977+03	10.0
,	8.903+06	2.761E+04	1.322+02	1.969-02	1.678+03	16.2
,	6.493+06	1.098+04	1.205+02	9.765-02	1.508+04	15.2