A Hybrid Global Optimization Algorithm Based on Wind Driven Optimization and Differential Evolution

Table 1

Description of the benchmark function used in our experiment.

Category	Test functions	Name	Range of search	Minimum value
Ι		Sphere	[−100, 100]	0
		Ackley	[−32, 32]	0
		Griewank	[−600, 600]	0
		Salomon	[−100, 100]	0
		Normalized Schwefel	[−512, 512]	−418.9829
		Quartic function, that is, noise	[−1.28, 1.28]	0
		Rotated hyperellipsoid	[−100, 100]	0
		Rastrigin	[−5.12, 5.12]	0
		Alpine	[−10, 10]	0
II		Branin	[−5, 15]	0.397887
		Easom	[−100, 100]	−1
		Goldstein and Price	[−2, 2]	3
		Six Hump Camel back	[−5, 5]	−1.0316
	, , ,	Hartmann (3,4)		−3.86278
		Michalewicz		−9.66015