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Turbulent Flow of Water-based Optimization (TFWO)

version 1.0.0 (374 KB) by Ebrahim Akbari
Turbulent Flow of Water-based Optimization (TFWO) for global real-world optimization problems

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Updated 23 May 2020

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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.

Based on The paper:
Mojtaba Ghasemi, Iraj Faraji Davoudkhani, Ebrahim Akbari, Abolfazl Rahimnejad, Sahand Ghavidel, and Li Li. "A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)." Engineering Applications of Artificial Intelligence 92 (2020): 103666. doi: https://doi.org/10.1016/j.engappai.2020.103666

Cite As

Ebrahim Akbari (2020). 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 .

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MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
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