Binary Artificial Electric Field Algorithm

Version 1.0.0.1 (5.15 KB) by Dr Anupam Yadav
Artificial Electric Field Algorithm (AEFA) is a population-based optimization techniques, it is inspired by the electrostatic force theory.
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Updated 24 Jun 2023

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Artificial Electric Field Algorithm (AEFA) is a population-based optimization techniques, it is inspired by the electrostatic force theory. This is a binary version of the AEFA scheme to improve the performance of the original AEFA scheme in discrete space. The popular S-shaped and V-shaped functions are used to design the binary versions of the AEFA.

Cite As

Dr Anupam Yadav (2024). Binary Artificial Electric Field Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/131568-binary-artificial-electric-field-algorithm), MATLAB Central File Exchange. Retrieved .

Chauhan, Dikshit, and Anupam Yadav. “Binary Artificial Electric Field Algorithm.” Evolutionary Intelligence, Springer Science and Business Media LLC, Apr. 2022, doi:10.1007/s12065-022-00726-x.

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MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: AEFA for Training Neural Network (GAEFA-HK)

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Version Published Release Notes
1.0.0.1

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1.0.0