Energy-Saving Multi-Agent Deep Reinforcement Learning Algorithm for Drone Routing Problem

With the rapid advancement of drone technology, the efficient distribution of drones has garnered significant attention. Central to this discourse is the energy consumption of drones, a critical metric for assessing energy-efficient distribution strategies. Accordingly, this study delves into the en...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 24; číslo 20; s. 6698
Hlavní autori:	Shu, Xiulan, Lin, Anping, Wen, Xupeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 18.10.2024 MDPI
Predmet:	Algorithms Data mining Deep learning deep reinforcement learning drone routing Drones Energy conservation Energy consumption Energy efficiency Energy management systems energy savings Energy use Genetic algorithms Heuristic Learning strategies Logistics Machine learning Methods multiple agents Neural networks Optimization Planning Traveling salesman problem drone routing energy savings deep reinforcement learning multiple agents
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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