Enhancing UAV Safety in Smart City Environments: A Dynamic Constrained Multi-Objective Evolutionary Algorithm

The integration of Unmanned Aerial Vehicles (UAVs) as mobile edge computing nodes has become increasingly crucial in smart city environments, where they provide dynamic computational support and services in areas with sudden high computational demands. Effective and safe UAV path planning is essenti...

Celý popis

Podrobná bibliografie

Vydáno v:	2025 IEEE/CIC International Conference on Communications in China (ICCC) s. 1 - 6
Hlavní autoři:	Gao, Junxi, Chen, Yanglin, Cai, Zhiyuan, Huang, Caishi, Peng, Chaoda
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 10.08.2025
Témata:	Autonomous aerial vehicles dynamic constrained multi-objective optimization evolutionary algorithm Evolutionary computation Heuristic algorithms Optimization Optimization models Path planning Planning Safety Smart cities smart city UAV path planning Vehicle dynamics
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!