Beaver behavior optimizer: A novel metaheuristic algorithm for solar PV parameter identification and engineering problems
The results validate BBO as a powerful optimization tool, particularly for solar PV parameter identification and engineering challenges. Its bio-inspired approach effectively balances exploration and exploitation, making it a competitive algorithm for solving complex optimization tasks.The source code of BBO is available at: https://github.com/oykc1234/BBO.
Authors
- Shengwei Fu (ORCID: https://orcid.org/0000-0001-7424-0291)
- Kaichen Ouyang (ORCID: https://orcid.org/0009-0003-5937-5229)
- Minyu Qiu
- Xinye Sha
- Dedai Wei
- Juntao Yu (ORCID: https://orcid.org/0009-0001-5299-6589)
- Huiling Chen (ORCID: https://orcid.org/0009-0008-5398-3748)
- Yuanli Zhao (ORCID: https://orcid.org/0009-0002-1786-6655)
- Ali Asghar Heidar
Institutions
- University of Science and Technology of China (CN)
- Wenzhou University (CN)
- Shenyang University of Technology (CN)
- Guizhou University (CN)
- University of Tehran (IR)
- Guizhou Education University (CN)
- Shenyang University (CN)
- China Jiliang University (CN)
- Columbia University (US)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.jare.2025.09.001
- Citations
- 7
- Primary Topic
- Solar Radiation and Photovoltaics
- Type
- article
- Field-Weighted Citation Impact
- 17.37