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Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop
  Scheduling

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling

20 November 2022
Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"

12 / 12 papers shown
Title
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
Ya Shen
Gang Chen
Hui Ma
Mengjie Zhang
2
0
0
18 May 2025
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Qingfu Zhang
114
1
0
05 Mar 2025
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
Sirui Li
Wenbin Ouyang
Yining Ma
Cathy Wu
48
0
0
18 Feb 2025
Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach
Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach
Jiawen Kang
Jiana Liao
Runquan Gao
Jinbo Wen
Huawei Huang
Maomao Zhang
Changyan Yi
Tao Zhang
Dusit Niyato
Zibin Zheng
200
0
0
26 Jan 2025
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural
  Combinatorial Optimization
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization
Jonathan Pirnay
D. G. Grimm
BDL
53
3
0
24 Jul 2024
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial
  Optimization Problems
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems
Kexiong Yu
Hang Zhao
Yuhang Huang
Renjiao Yi
Kai Xu
Chenyang Zhu
46
0
0
28 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
70
6
0
01 Jun 2024
Self-Improvement for Neural Combinatorial Optimization: Sample without
  Replacement, but Improvement
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
Jonathan Pirnay
D. G. Grimm
56
11
0
22 Mar 2024
Learning Topological Representations with Bidirectional Graph Attention
  Network for Solving Job Shop Scheduling Problem
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
Cong Zhang
Zhiguang Cao
Yaoxin Wu
Wen Song
Jing-rong Sun
31
3
0
27 Feb 2024
Self-Labeling the Job Shop Scheduling Problem
Self-Labeling the Job Shop Scheduling Problem
Andrea Corsini
Angelo Porrello
Simone Calderara
Mauro DellÁmico
SSL
13
14
0
22 Jan 2024
Residual Scheduling: A New Reinforcement Learning Approach to Solving
  Job Shop Scheduling Problem
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem
Kuo-Hao Ho
Jui-Yu Cheng
Ji-Han Wu
Chiang Fan
Yen-Chi Chen
Yuan-Yu Wu
I-Chen Wu
26
11
0
27 Sep 2023
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement
  Learning
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang
Wen Song
Zhiguang Cao
Jie Zhang
Puay Siew Tan
Chi Xu
60
302
0
23 Oct 2020
1