Graph reinforcement learning for flexible job shop scheduling under industrial demand response: A production and energy nexus perspective.
Zhangjie RuiXi ZhangMingzhou LiuLin LingXiaoqiao WangConghu LiuMengyuan SunPublished in: Comput. Ind. Eng. (2024)
Keyphrases
- job shop scheduling
- reinforcement learning
- job shop scheduling problem
- scheduling problem
- distribution network
- production cost
- graph coloring
- combinatorial optimization problems
- lot size
- bipartite graph
- graph structure
- weighted graph
- graph model
- random walk
- directed graph
- simulated annealing
- dynamic programming
- energy consumption
- neural network