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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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| 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 |