Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling.
Kuo-Hao HoJi-Han WuFan ChiangYuan-Yu WuSheng-I ChenTed KuoFeng-Jian WangI-Chen WuPublished in: ICCE-Taiwan (2023)
Keyphrases
- job shop scheduling
- neural network
- reinforcement learning
- job shop scheduling problem
- graph model
- scheduling problem
- graph coloring
- function approximators
- combinatorial optimization problems
- machine learning
- bipartite graph
- function approximation
- artificial neural networks
- random walk
- graph structure
- fuzzy logic
- genetic algorithm
- directed graph
- benchmark problems
- state space
- resource constraints
- dynamic programming
- simulated annealing
- supervised learning
- wireless sensor networks