A Q-Learning based NSGA-II for dynamic flexible job shop scheduling with limited transportation resources.
Rensheng ChenBin WuHua WangHuagang TongFeiyi YanPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- job shop scheduling
- nsga ii
- multi objective
- job shop scheduling problem
- resource constraints
- test problems
- evolutionary algorithm
- multi objective optimization
- multiobjective optimization
- scheduling problem
- pareto optimal
- multi objective evolutionary algorithms
- genetic algorithm
- reinforcement learning
- evolutionary multiobjective optimization
- multiobjective evolutionary algorithm
- optimization algorithm
- evolutionary multiobjective
- multi objective differential evolution
- resource allocation
- optimization problems
- objective function
- optimal solution
- similarity measure
- combinatorial optimization problems
- differential evolution
- simulated annealing
- special case
- search algorithm
- uniform design
- neural network