Sunflower Optimization Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9733-4_4
Reference19 articles.
1. Alshammari, B. M., & Guesmi, T. (2020). New Chaotic sunflower optimization algorithm for optimal tuning of power system stabilizers. Journal of Electrical Engineering and Technology. https://doi.org/10.1007/s42835-020-00470-1
2. Duong, T. L., & Nguyen, T. T. (2020). Application of sunflower optimization algorithm for solving the security constrained optimal power flow problem. Engineering, Technology & Applied Science Research. https://doi.org/10.48084/etasr.3511
3. Duong, T. L., Nguyen, N. A., & Nguyen, T. T. (2020). A newly hybrid method based on cuckoo search and sunflower optimization for optimal power flow problem. Sustainability (Switzerland). https://doi.org/10.3390/su12135283
4. Ehteram, M., Ferdowsi, A., Faramarzpour, M., Al-Janabi, A. M. S., Al-Ansari, N., Bokde, N. D., & Yaseen, Z. M. (2021). Hybridization of artificial intelligence models with nature inspired optimization algorithms for lake water level prediction and uncertainty analysis. Alexandria Engineering Journal. https://doi.org/10.1016/j.aej.2020.12.034
5. El-Sehiemy, R. A., Hamida, M. A., & Mesbahi, T. (2020). Parameter identification and state-of-charge estimation for lithium-polymer battery cells using enhanced sunflower optimization algorithm. International Journal of Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2020.01.067
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