iAEFA

Version 1.0.0 (18.1 KB) by 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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Updated 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.

Cite As

Dr Anupam Yadav (2024). iAEFA (https://github.com/anupuam/iAEFA), GitHub. Retrieved April 27, 2024.

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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MATLAB Release Compatibility

Created with R2023a

Compatible with any release

Platform Compatibility

Windows macOS Linux

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Acknowledgements

Inspired by: AEFA: Artificial Electric Field Algorithm

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Versions that use the GitHub default branch cannot be downloaded

Version	Published	Release Notes
1.0.0	2 Jul 2023

To view or report issues in this GitHub add-on, visit the GitHub Repository.

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} }