MeanDE: differential evolution with mean DE mutation

Version 1.0.1 (3.87 KB) by abdesslem layeb

a simple and competitive DE for optimization problem.

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Updated 20 Jan 2023

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this code implements a new DE (MeanDE) with two novel mutations called DE/mean-current/1 and DE/best-mean-current/1 are proposed and integrated in DE algorithm, they have both exploration ability and exploitation trend.

this code is a part of the contribution: Layeb, Abdesslem. Differential Evolution Algorithms with Novel Mutations, Adaptive Parameters and Weibull Flight Operator. Research Square Platform LLC, Sept. 2022, doi:10.21203/rs.3.rs-1898342/v1

MeanDE is a very simple and competitive compared to other DE variants.

Cite As

abdesslem layeb (2024). MeanDE: differential evolution with mean DE mutation (https://www.mathworks.com/matlabcentral/fileexchange/123560-meande-differential-evolution-with-mean-de-mutation), MATLAB Central File Exchange. Retrieved April 28, 2024.

Layeb, Abdesslem. Differential Evolution Algorithms with Novel Mutations, Adaptive Parameters and Weibull Flight Operator. Research Square Platform LLC, Sept. 2022, doi:10.21203/rs.3.rs-1898342/v1.

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MATLAB Release Compatibility

Created with R2022b

Compatible with any release

Platform Compatibility

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Version	Published	Release Notes
1.0.1	20 Jan 2023	correction of some typos	Download
1.0.0	20 Jan 2023		Download

MLA	Layeb, Abdesslem. Differential Evolution Algorithms with Novel Mutations, Adaptive Parameters and Weibull Flight Operator. Research Square Platform LLC, Sept. 2022, doi:10.21203/rs.3.rs-1898342/v1.
APA	Layeb, A. (2022). Differential Evolution Algorithms with Novel Mutations, Adaptive Parameters and Weibull Flight Operator. Research Square Platform LLC. Retrieved from https://doi.org/10.21203%2Frs.3.rs-1898342%2Fv1
BibTeX	@article{Layeb_2022, doi = {10.21203/rs.3.rs-1898342/v1}, url = {https://doi.org/10.21203%2Frs.3.rs-1898342%2Fv1}, year = 2022, month = {sep}, publisher = {Research Square Platform {LLC}}, author = {Abdesslem Layeb}, title = {Differential Evolution Algorithms with Novel Mutations, Adaptive Parameters and Weibull Flight Operator} }