Genetic Algorithm-Based Fair Order Assignment Optimization of Food Delivery Platform

Min Yan Tsai, Guo Yu Lin, Jiang Yi Zeng, Chia Mu Yu, Chi Yuan Chen, Hsin Hung Cho*

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Most existing food delivery platforms lack responsibility when it comes to route planning. This often results in uneven assignment of orders or difficulty in arranging orders for delivery drivers. These issues have led to loss of consumer rights and reduced revenue for delivery platforms, as well as negative feedback and evaluations. To address this problem, it is necessary to first resolve the issue of uneven distribution of orders. In this paper, we propose using the Genetic Algorithm (GA) to solve the order assignment optimization problem. By utilizing GA’s strong global search ability, we can achieve fair assignment of orders, optimize delivery routes, and balance revenue distribution. This approach creates a fair competition environment for delivery drivers and improves service quality, ultimately leading to positive feedback from consumers and creating a win-win situation.

原文English
主出版物標題Bio-inspired Information and Communications Technologies - 14th EAI International Conference, BICT 2023, Proceedings
編輯Yifan Chen, Dezhong Yao, Tadashi Nakano
發行者Springer Science and Business Media Deutschland GmbH
頁面122-132
頁數11
ISBN(列印)9783031431340
DOIs
出版狀態Published - 2023
事件14th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2023 - Okinawa, Japan
持續時間: 11 4月 202312 4月 2023

出版系列

名字Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
512 LNICST
ISSN(列印)1867-8211
ISSN(電子)1867-822X

Conference

Conference14th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2023
國家/地區Japan
城市Okinawa
期間11/04/2312/04/23

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