thieu1995
[FEAT]: Resquest to add LSHADE_cnepsin algorithm
Description
Description
Hello,
Thank you for your continued efforts on the MEALPY project — it has been invaluable to my research!
I am currently focusing on optimization algorithms and would like to request the inclusion of the LSHADE_cnepsin algorithm (Ensemble Sinusoidal Differential Covariance Matrix Adaptation with Euclidean Neighborhood) in your library. This method has demonstrated excellent performance on the CEC2017 benchmark and would be a significant addition alongside other state-of-the-art metaheuristics in MEALPY.
For your reference, here is the citation for the original paper describing the algorithm:
@INPROCEEDINGS{7969336,
author={Awad, Noor H. and Ali, Mostafa Z. and Suganthan, Ponnuthurai N.},
booktitle={2017 IEEE Congress on Evolutionary Computation (CEC)},
title={Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems},
year={2017},
pages={372-379},
keywords={Covariance matrices;Sociology;Optimization;Indexes;Benchmark testing;Next generation networking;Differential Evolution;Sinusoidal Wave;Ensemble approach;Covariance Matrix Learning},
doi={10.1109/CEC.2017.7969336}
}
Paper link: https://doi.org/10.1109/CEC.2017.7969336
Thank you!
Additional Information
No response
