A Dynamic Opposite Learning Assisted Grasshopper Optimization Algorithm for the Flexible JobScheduling Problem

Table 2

The parameters settings of optimization algorithms.

Parameters	Value
Size of population	100
Total generation number for test functions	3000
Total generation number for FJSP	200
Times conducting the experiment	10
of GOA (maximum value)	1
of GOA (minimum value)	0.00001
c of GOA (decreasing coefficient)
of DOLGOA	1
of DOLGOA	4
Inerita weight of PSO
Scale factor of DE	0.5
Crossover constant of DE	0.5