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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Bibliographic Details
Main Authors: SHAO, Qian, CHENG, Shih-Fen
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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