Academic Journal
A global dynamic evolution snow ablation optimizer for unmanned aerial vehicle path planning under space obstacle threat
| العنوان: | A global dynamic evolution snow ablation optimizer for unmanned aerial vehicle path planning under space obstacle threat |
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| المؤلفون: | Chenyu Liu, Dongliang Zhang, Wankai Li |
| المصدر: | Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024) |
| بيانات النشر: | Nature Portfolio, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Unmanned aerial vehicle, Snow ablation optimizer, Path planning, GDSAO, Obstacle threat, Medicine, Science |
| الوصف: | Abstract In this paper, an improved Global Dynamic Evolution Snow Ablation Optimizer (GDSAO) is proposed in order to solve the problem of global optimization and Unmanned Aerial Vehicle (UAV) path planning in 3D space with obstacle threats. Three improvement schemes are proposed in GDSAO: (1) Population initialization is carried out using the theory of the best point set to obtain a more diverse initial population; (2) A dynamic snowmelt ratio using the global evolutionary dispersion is proposed to adapt the exploitation process of the original SAO to the evolutionary process of population fitness; (3) A neighborhood dimensional search scheme is proposed to update the locations of all searched individuals outside the elite pool to obtain better population fitness. The algorithm was tested on 30 10-dimensional problems at CEC 2017 and performed better than a series of joint and leading optimization algorithms. The path planning problem of UAV was solved, and the path satisfying all obstacle avoidance threats and corner constraints was obtained. By comparison, GDSAO is superior to the existing algorithms in terms of reliability and stability of optimization. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-024-81100-y |
| URL الوصول: | https://doaj.org/article/8cda2489585d422d887676d413579a86 |
| رقم الانضمام: | edsdoj.8cda2489585d422d887676d413579a86 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-024-81100-y |