Turbulent Flow of Water-based Optimization (TFWO)

版本 1.0.2 (389.1 KB) 作者: Ebrahim Akbari

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

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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

引用格式

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. 检索时间: 2024/11/25.

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

版本	已发布	发行说明
1.0.2	2021/10/19	Editing description.	下载
1.0.1	2021/10/19	Adding DOI to the reference paper.	下载
1.0.0	2020/5/23		下载

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})} }