A graph neural networks-based deep Q-learning approach for job shop scheduling problems in traffic management.
Zeyi LiuYuan WangXingxing LiangYang MaYanghe FengGuangquan ChengZhong LiuPublished in: Inf. Sci. (2022)
Keyphrases
- traffic management
- job shop scheduling problem
- neural network
- graph model
- job shop scheduling
- genetic algorithm
- control strategies
- cellular networks
- traffic signal
- scheduling problem
- tabu search
- benchmark problems
- reinforcement learning
- fuzzy logic
- simulated annealing
- learning algorithm
- traffic light
- memetic algorithm
- intelligent systems
- combinatorial optimization problems
- artificial neural networks
- weighted graph
- directed graph
- graph structure
- traffic conditions
- random walk
- supply chain management
- evolutionary algorithm
- navigation systems
- bipartite graph
- wireless networks