A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem.
Renke LiuRajesh PiplaniCarlos ToroPublished in: Comput. Oper. Res. (2023)
Keyphrases
- job shop scheduling problem
- multi agent reinforcement learning
- job shop scheduling
- critical path
- scheduling problem
- benchmark problems
- combinatorial optimization problems
- multi agent
- genetic algorithm
- tabu search
- memetic algorithm
- simulated annealing
- graph model
- artificial intelligence
- combinatorial optimization
- dynamic programming
- multi agent learning
- multi agent systems
- reinforcement learning