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...

Full description

Bibliographic Details

Published in:	2025 IEEE/CIC International Conference on Communications in China (ICCC) pp. 1 - 6
Main Authors:	Gao, Junxi, Chen, Yanglin, Cai, Zhiyuan, Huang, Caishi, Peng, Chaoda
Format:	Conference Proceeding
Language:	English
Published:	IEEE 10.08.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!