Multi-strategy secretary bird optimization algorithm for UAV path planning in complex environment

Abstract This paper proposes a UAV path planning method based on a Multi-strategy Secretary Bird Optimization Algorithm (MSBOA) to address the challenges of navigating complex terrain. First, a pooling mechanism is introduced to enhance population diversity and improve the algorithm’s optimization c...

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主要な著者:	Le Feng, Huanxi Liu, Zhifu He, Hanhao Ye, Sen Yang
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-11-01
シリーズ:	Scientific Reports
主題:	Secretary bird optimization algorithm Global exploration and local exploration Pooling mechanism Dynamic fitness distance balance strategy UAV path planning
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-28822-9
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