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

Table 3

The parameters set of DE.

Parameters	Value
Population size	50
Max number of iterations	1000
Mutation scale factor	0.2
Crossover probability	0.03