iAEFA

Versión 1.0.0 (18,1 KB) por Dr Anupam Yadav

This is the Matlab code of Adaptive Comprehensive Learning Artificial Electric Field Algorithm for Continuous Optimization Problems.

https://github.com/anupuam/iAEFA

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Actualizado 2 jul 2023

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This pacakge is the matlab code of recently developed comprehensive learning adaptice AEFA for solving continuous optimization problems.

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Dr Anupam Yadav (2026). iAEFA (https://github.com/anupuam/iAEFA), GitHub. Recuperado 27 enero, 2026.

Chauhan, Dikshit, and Anupam Yadav. “An Adaptive Artificial Electric Field Algorithm for Continuous Optimization Problems.” Expert Systems, Wiley, June 2023, doi:10.1111/exsy.13380.

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Compatibilidad con la versión de MATLAB

Se creó con R2023a

Compatible con cualquier versión

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Windows macOS Linux

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Agradecimientos

Inspirado por: AEFA: Artificial Electric Field Algorithm

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Versión	Publicado	Notas de la versión
1.0.0	2 jul 2023

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.

MLA	Chauhan, Dikshit, and Anupam Yadav. “An Adaptive Artificial Electric Field Algorithm for Continuous Optimization Problems.” Expert Systems, Wiley, June 2023, doi:10.1111/exsy.13380.
APA	Chauhan, D., & Yadav, A. (2023). An adaptive artificial electric field algorithm for continuous optimization problems. Expert Systems. Wiley. Retrieved from https://doi.org/10.1111%2Fexsy.13380
BibTeX	@article{Chauhan_2023, doi = {10.1111/exsy.13380}, url = {https://doi.org/10.1111%2Fexsy.13380}, year = 2023, month = {jun}, publisher = {Wiley}, author = {Dikshit Chauhan and Anupam Yadav}, title = {An adaptive artificial electric field algorithm for continuous optimization problems}, journal = {Expert Systems} }