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

Table 2

The parameters set of WDO.

Parameters	Value
Population size	50
Max number of iterations	1000
RT coefficient	1
Constants in the update equation	0.8
Maximum allowed speed	0.3
Gravitational constant	0.6
Coriolis effect	0.7