A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty.
Peng ZhengPeng ZhangJunliang WangJie ZhangChangqi YangYongqiao JinPublished in: Int. J. Comput. Integr. Manuf. (2022)
Keyphrases
- optimization method
- job shop scheduling problem
- simulated annealing
- data driven
- genetic algorithm
- tabu search
- job shop scheduling
- metaheuristic
- optimization methods
- critical path
- optimization algorithm
- benchmark problems
- evolutionary algorithm
- differential evolution
- optimization process
- production scheduling
- nonlinear optimization
- optimization procedure
- combinatorial optimization problems
- particle swarm
- memetic algorithm
- scheduling problem
- nelder mead simplex
- combinatorial optimization
- multi objective
- hybrid algorithm
- optimization problems
- tabu search algorithm
- genetic algorithm ga