Research on dual objective optimization of location and allocation for urban logistics drone distribution centers based on cost and timeliness

Abstract This study proposes an innovative dual-objective optimization model for the location and allocation problem of drone delivery centers in urban logistics, aiming to simultaneously minimize the overall cost and maximize delivery time efficiency. To address the complexity of this NP-hard probl...

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Главные авторы:	Qing Liu, Haonan Ge, Yang Song
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2026-02-01
Серии:	Discover Artificial Intelligence
Предметы:	Logistics drones Distribution center location selection Improved genetic-particle swarm optimization algorithm Airspace environment Task allocation
Online-ссылка:	https://doi.org/10.1007/s44163-026-00940-x
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