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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

14 March 2024
Imanol Echeverria
M. Murua
Roberto Santana
ArXivPDFHTML

Papers citing "Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem"

3 / 3 papers shown
Title
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 M. Zhang
Puay Siew Tan
Chi Xu
55
228
0
23 Oct 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
167
1,157
0
03 Mar 2020
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
69
1,304
0
29 Nov 2016
1