A Study on Path Planning of Unmanned Aerial Vehicle Based on Improved Genetic Algorithm

Author:

Tao Jihua,Zhong Chaoliang,Gao Li,Deng Hao

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A genetic algorithm-based research on drone trajectory planning strategy of cooperative inspection of transmission lines, substations and distribution lines;International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023);2023-06-16

2. An Optimization Method of Multi-UAV Fast Line Patrol Scheduling for Distribution Network;2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC );2022-10-03

3. Artificial Intelligence Approaches for UAV Navigation: Recent Advances and Future Challenges;IEEE Access;2022

4. A New Encoding Mechanism Embedded Evolutionary Algorithm for UAV Route Planning;2021 IEEE Congress on Evolutionary Computation (CEC);2021-06-28

5. AirNet: Energy-Aware Deployment and Scheduling of Aerial Networks;IEEE Transactions on Vehicular Technology;2020-10

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