Preference-aware delivery planning for last-mile logistics

• Main Authors: SHAO, Qian, CHENG, Shih-Fen
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: learning from demonstrations; autonomous planning; last-mile logistics; Artificial Intelligence and Robotics; Databases and Information Systems
• 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
• Institution: Singapore Management University

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...