Solving flexible job shop scheduling problems via deep reinforcement learning.
Erdong YuanLiejun WangShuli ChengShiji SongWei FanYongming LiPublished in: Expert Syst. Appl. (2024)
Keyphrases
- job shop scheduling problem
- reinforcement learning
- job shop scheduling
- combinatorial optimization
- particle swarm algorithm
- scheduling problem
- function approximation
- simulated annealing
- benchmark problems
- genetic algorithm
- dynamic programming
- combinatorial optimization problems
- machine learning
- markov decision processes
- learning algorithm
- traveling salesman problem
- graph model
- memetic algorithm