Binary Artificial Electric Field Algorithm

Version 1.0.0.1 (5,15 KB) von Dr Anupam Yadav

Artificial Electric Field Algorithm (AEFA) is a population-based optimization techniques, it is inspired by the electrostatic force theory.

https://github.com/anupuam/BAEFA

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Aktualisiert 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.

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Dr Anupam Yadav (2025). Binary Artificial Electric Field Algorithm (https://de.mathworks.com/matlabcentral/fileexchange/131568-binary-artificial-electric-field-algorithm), MATLAB Central File Exchange. Abgerufen27. Dezember 2025.

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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Erstellt mit R2023a

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

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Version	Veröffentlicht	Versionshinweise
1.0.0.1	24. Jun 2023	No Change	Herunterladen
1.0.0	24. Jun 2023		Herunterladen

MLA	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.
APA	Chauhan, D., & Yadav, A. (2022). Binary Artificial Electric Field Algorithm. Evolutionary Intelligence. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs12065-022-00726-x
BibTeX	@article{Chauhan_2022, doi = {10.1007/s12065-022-00726-x}, url = {https://doi.org/10.1007%2Fs12065-022-00726-x}, year = 2022, month = {apr}, publisher = {Springer Science and Business Media {LLC}}, author = {Dikshit Chauhan and Anupam Yadav}, title = {Binary Artificial Electric Field Algorithm}, journal = {Evolutionary Intelligence} }