Preference-aware delivery planning for last-mile logistics
Optimizing delivery routes for last-mile logistics service is challenging and has attracted the attention of many researchers. These problems are usually modeled and solved as variants of vehicle routing problems (VRPs) with challenging real-world constraints (e.g., time windows, precedence). Howeve...
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Main Authors: | SHAO, Qian, CHENG, Shih-Fen |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8073 https://ink.library.smu.edu.sg/context/sis_research/article/9076/viewcontent/last_mile_preference_learning_aamas23.pdf |
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Institution: | Singapore Management University |
Language: | English |
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