Learning to handle complex constraints for vehicle routing problems
Vehicle Routing Problems (VRPs) can model many real-world scenarios and often involve complex constraints. While recent neural methods excel in constructing solutions based on feasibility masking, they struggle with handling complex constraints, especially when obtaining the masking itself is NP-har...
Saved in:
Main Authors: | BI, Jieyi, MA, Yining, ZHOU, Jianan, SONG, Wen, CAO, Zhiguang, WU, Yaoxin, ZHANG, Jie |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9814 https://ink.library.smu.edu.sg/context/sis_research/article/10814/viewcontent/2410.21066v1.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
MVMoE: Multi-task vehicle routing solver with mixture-of-experts
by: ZHOU, Jianan, et al.
Published: (2024) -
Cross-problem learning for solving vehicle routing problems
by: LIN, Zhuoyi, et al.
Published: (2024) -
Collaboration! Towards robust neural methods for routing problems
by: ZHOU, Jianan, et al.
Published: (2024) -
Collaborative deep reinforcement learning for solving multi-objective vehicle routing problems
by: WU, Yaoxin, et al.
Published: (2024) -
Conditional neural heuristic for multiobjective vehicle routing problems
by: FAN, Mingfeng, et al.
Published: (2024)