GLOP: Learning global partition and local construction for solving large-scale routing problems in real-time

GLOP: Learning global partition and local construction for solving large-scale routing problems in real-time

The recent end-to-end neural solvers have shown promise for small-scale routing problems but suffered from limited real-time scaling-up performance. This paper proposes GLOP (Global and Local Optimization Policies), a unified hierarchical framework that efficiently scales toward large-scale routing...

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Bibliographic Details
Main Authors: YE, Haoran, WANG, Jiarui, LIANG, Helan, CAO, Zhiguang, LI, Yong, LI, Fanzhang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
PRS
Routing
Combinatorial Optimization
Learning to Search
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8732
https://ink.library.smu.edu.sg/context/sis_research/article/9735/viewcontent/30009_Article_Text_34063_1_2_20240324_pvoa.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8732
https://ink.library.smu.edu.sg/context/sis_research/article/9735/viewcontent/30009_Article_Text_34063_1_2_20240324_pvoa.pdf

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