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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

27 September 2023
Kuo-Hao Ho
Jui-Yu Cheng
Ji-Han Wu
Chiang Fan
Yen-Chi Chen
Yuan-Yu Wu
I-Chen Wu
ArXivPDFHTML

Papers citing "Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem"

5 / 5 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
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
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
Scheduling Distributed Flexible Assembly Lines using Safe Reinforcement
  Learning with Soft Shielding
Scheduling Distributed Flexible Assembly Lines using Safe Reinforcement Learning with Soft Shielding
Lele Li
Liyong Lin
14
0
0
21 Nov 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
299
0
23 Oct 2020
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