Fire Hawk Optimizer (FHO): a novel metaheuristic algorithm

Version 1.0.0 (2.43 KB) by Mahdi Azizi

Fire Hawk Optimizer (FHO) source code - version 1.0

https://link.springer.com/article/10.1007/s10462-022-10173-w

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Updated 29 Jun 2022

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Fire Hawk Optimizer (FHO) is a novel metaheuristic algorithm developed based on the foraging behavior of whistling kites, black kites and brown falcons. These birds are termed Fire Hawks considering the specific actions they perform to catch prey in nature, specifically by means of setting fire.

Cite As

Mahdi Azizi (2024). Fire Hawk Optimizer (FHO): a novel metaheuristic algorithm (https://www.mathworks.com/matlabcentral/fileexchange/114325-fire-hawk-optimizer-fho-a-novel-metaheuristic-algorithm), MATLAB Central File Exchange. Retrieved April 25, 2024.

Azizi, Mahdi, et al. “Fire Hawk Optimizer: a Novel Metaheuristic Algorithm.” Artificial Intelligence Review, Springer Science and Business Media LLC, June 2022, doi:10.1007/s10462-022-10173-w.

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FHO.m

Version	Published	Release Notes
1.0.0	29 Jun 2022		Download

MLA	Azizi, Mahdi, et al. “Fire Hawk Optimizer: a Novel Metaheuristic Algorithm.” Artificial Intelligence Review, Springer Science and Business Media LLC, June 2022, doi:10.1007/s10462-022-10173-w.
APA	Azizi, M., Talatahari, S., & Gandomi, A. H. (2022). Fire Hawk Optimizer: a novel metaheuristic algorithm. Artificial Intelligence Review. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs10462-022-10173-w
BibTeX	@article{Azizi_2022, doi = {10.1007/s10462-022-10173-w}, url = {https://doi.org/10.1007%2Fs10462-022-10173-w}, year = 2022, month = {jun}, publisher = {Springer Science and Business Media {LLC}}, author = {Mahdi Azizi and Siamak Talatahari and Amir H. Gandomi}, title = {Fire Hawk Optimizer: a novel metaheuristic algorithm}, journal = {Artificial Intelligence Review} }