Improved WOA algorithm and path planning for UAV

Xinxin Zhao; Shukun Cao; Wenwen Zhang; Guo Zhao; Mengjie Xing

doi:10.1117/12.3025821

1 April 2024 Improved WOA algorithm and path planning for UAV

Xinxin Zhao, Shukun Cao, Wenwen Zhang, Guo Zhao, Mengjie Xing

Proceedings Volume 13081, Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023); 1308114 (2024) https://doi.org/10.1117/12.3025821
Event: 2023 3rd International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023), 2023, Tianjin, China

Abstract

In the UAV path planning problem, traditional algorithms have shortcomings such as computational complexity and convergence. WOA algorithm is concise and easy to implement, and has loose requirements on objective function conditions and less parameter control, etc. However, its lack of adaptability and difference limits its performance in complex optimization problems. In this study, a nonlinear convergence factor and an adaptive weight strategy were introduced. In the simulation verification, multiple constraints were considered and added into the objective function as a penalty term to build a route planning model under the UAV flight mission scenario, and the improved WOA algorithm was used to solve the optimal path. Through simulation verification, the results proved that the improved WOA algorithm was efficient and practical. The final simulation verifies the efficiency and practicability of improved WOA algorithm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinxin Zhao, Shukun Cao, Wenwen Zhang, Guo Zhao, and Mengjie Xing "Improved WOA algorithm and path planning for UAV", Proc. SPIE 13081, Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023), 1308114 (1 April 2024); https://doi.org/10.1117/12.3025821

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available