Turbulent Flow of Water-based Optimization (TFWO)

Version 1.0.2 (389 KB) by Ebrahim Akbari

Turbulent Flow of Water-based Optimization (TFWO) for global real-world optimization problems

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Updated 19 Oct 2021

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Turbulent Flow of Water-based Optimization (TFWO) is a new and effective grouping optimization algorithm, which is inspired from a nature search phenomenon, i.e. whirlpools created in turbulent flow of water. In this algorithm algorithm, the problem of selecting control parameters is eliminated, the convergence power is increased and the algorithm have a fixed

structure.

The reference paper: https://doi.org/10.1016/j.engappai.2020.103666

Cite As

Ebrahim Akbari (2024). Turbulent Flow of Water-based Optimization (TFWO) (https://www.mathworks.com/matlabcentral/fileexchange/75868-turbulent-flow-of-water-based-optimization-tfwo), MATLAB Central File Exchange. Retrieved April 19, 2024.

Ghasemi, Mojtaba, et al. A Novel and Effective Optimization Algorithm for Global Optimization and Its Engineering Applications: Turbulent Flow of Water-Based Optimization (TFWO). Elsevier BV, June 2020, p. 103666, doi:10.1016/j.engappai.2020.103666.

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TFWO MATLAB Code

Version	Published	Release Notes
1.0.2	19 Oct 2021	Editing description.	Download
1.0.1	19 Oct 2021	Adding DOI to the reference paper.	Download
1.0.0	23 May 2020		Download

MLA	Ghasemi, Mojtaba, et al. A Novel and Effective Optimization Algorithm for Global Optimization and Its Engineering Applications: Turbulent Flow of Water-Based Optimization (TFWO). Elsevier BV, June 2020, p. 103666, doi:10.1016/j.engappai.2020.103666.
APA	Ghasemi, M., Davoudkhani, I. F., Akbari, E., Rahimnejad, A., Ghavidel, S., & Li, L. (2020). A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO), 92, 103666. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.engappai.2020.103666
BibTeX	@article{2020, doi = {10.1016/j.engappai.2020.103666}, url = {https://doi.org/10.1016%2Fj.engappai.2020.103666}, year = 2020, month = {jun}, publisher = {Elsevier {BV}}, volume = {92}, pages = {103666}, author = {Mojtaba Ghasemi and Iraj Faraji Davoudkhani and Ebrahim Akbari and Abolfazl Rahimnejad and Sahand Ghavidel and Li Li}, title = {A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization ({TFWO})} }