Research Article
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 |
|
|