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Flexible Job Shop Scheduling via Dual Attention Network Based
  Reinforcement Learning

Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning

9 May 2023
Runqing Wang
G. Wang
Jian Sun
Fang Deng
Jie Chen
ArXivPDFHTML

Papers citing "Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning"

8 / 8 papers shown
Title
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
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
Jesse van Remmerden
Z. Bukhsh
Yingqian Zhang
OffRL
OnRL
45
1
0
16 Sep 2024
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
Igor G. Smit
Jianan Zhou
Robbert Reijnen
Yaoxin Wu
Jian Chen
Cong Zhang
Z. Bukhsh
Wim P. M. Nuijten
Yingqian Zhang
GNN
AI4CE
36
8
0
20 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural
  Networks
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
Yaochu Jin
Xueming Yan
Shiqing Liu
Xiangyu Wang
49
3
0
19 Jun 2024
Leveraging Constraint Programming in a Deep Learning Approach for
  Dynamically Solving the Flexible Job-Shop Scheduling Problem
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
Imanol Echeverria
M. Murua
Roberto Santana
34
5
0
14 Mar 2024
Solving the flexible job-shop scheduling problem through an enhanced
  deep reinforcement learning approach
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach
Imanol Echeverria
M. Murua
Roberto Santana
OffRL
21
1
0
24 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
H. Najjaran
35
11
0
04 Oct 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