Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning.
Shu LuoPublished in: Appl. Soft Comput. (2020)
Keyphrases
- job shop
- dynamic scheduling
- reinforcement learning
- production scheduling
- process planning
- job shop scheduling
- scheduling problem
- resource constrained
- flexible manufacturing systems
- job shop scheduling problem
- tabu search
- flowshop
- ant colony algorithm
- lightweight
- memetic algorithm
- machine learning
- optimal policy
- computer aided design
- metaheuristic
- grid services
- wireless sensor networks
- special case
- computer aided
- service providers
- multi agent systems
- np hard