Turbulent Flow of Water-based Optimization (TFWO)
Version 1.0.2 (389 KB) von
Ebrahim Akbari
Turbulent Flow of Water-based Optimization (TFWO) for global real-world optimization problems
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
Zitieren als
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. Abgerufen .
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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R2018a
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TFWO MATLAB Code
Version | Veröffentlicht | Versionshinweise | |
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1.0.2 | Editing description. |
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1.0.1 | Adding DOI to the reference paper. |
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1.0.0 |