Unmanned Aerial Vehicle Path Planning Method Based on Improved Dung Beetle Optimization Algorithm

Symmetry, Год журнала: 2025, Номер 17(3), С. 367 - 367

Опубликована: Фев. 28, 2025

To address the problem of UAV path planning in complex mountainous terrains, this paper comprehensively considers constraints such as natural mountain and obstacle collision threats, shortest path, flight altitude. We propose a more practical model that better reflects actual situation areas. In order to solve model, improves traditional dung beetle optimization (DBO) algorithm proposes an improved (IDBO) algorithm. The IDBO optimizes population initialization method based on concept symmetry, ensuring is evenly distributed within solution space. Additionally, introduces sine–cosine function-based movement strategy, inspired by symmetry principle, enhance search efficiency individual members. Furthermore, evolution strategy incorporated prevent from getting stuck local optima. demonstrate algorithm’s performance, tests were conducted using 23 commonly used benchmark functions provided CEC 2005 competition six engineering models 2020 competition. results indicate significantly outperforms DBO terms convergence effectively solving various problems. Finally, experimental under three different threat scenarios show proposed has scientific validity when applied planning. This reduces energy consumption costs threats while improving accuracy

Язык: Английский

Multi-Sensor Data Fusion Across Dimensions: A Novel Approach to Synopsis Generation Using Sensory Data

Journal of Industrial Information Integration, Год журнала: 2025, Номер unknown, С. 100876 - 100876

Опубликована: Май 1, 2025

Язык: Английский

A fruit fly-inspired path planning algorithm for unmanned aerial vehicle in underground environments based on low-discrepancy sequences

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 156, С. 111250 - 111250

Опубликована: Июнь 3, 2025

Язык: Английский