L-SHADE optmization algorithm

Version 1.0.2 (3.17 KB) by Eduardo Nunes Goncalves

Implementation of a modified L-SHADE optimization algorithm

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Updated 19 Jun 2024

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L_SHADE.m implements a modified version of the L-SHADE optimization algorithm.

test_L_SHADE.m presents an example of how to use the L_SHADE function.

Cite As

Eduardo Nunes Goncalves (2025). L-SHADE optmization algorithm (https://uk.mathworks.com/matlabcentral/fileexchange/159171-l-shade-optmization-algorithm), MATLAB Central File Exchange. Retrieved November 23, 2025.

Tanabe, Ryoji, and Alex S. Fukunaga. “Improving the Search Performance of SHADE Using Linear Population Size Reduction.” 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2014, doi:10.1109/cec.2014.6900380.

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MATLAB Release Compatibility

Created with R2020a

Compatible with any release

Platform Compatibility

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Version	Published	Release Notes
1.0.2	19 Jun 2024	Changed the function to keep the optimization variables inside the search area.	Download
1.0.1	9 Jun 2024	Includes an optional option to define a search region that is proportional to the initial distribution region.	Download
1.0.0	7 Feb 2024		Download

MLA	Tanabe, Ryoji, and Alex S. Fukunaga. “Improving the Search Performance of SHADE Using Linear Population Size Reduction.” 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2014, doi:10.1109/cec.2014.6900380.
APA	Tanabe, R., & Fukunaga, A. S. (2014). Improving the search performance of SHADE using linear population size reduction. In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE. Retrieved from http://dx.doi.org/10.1109/CEC.2014.6900380
BibTeX	@inproceedings{Tanabe_2014, title={Improving the search performance of SHADE using linear population size reduction}, url={http://dx.doi.org/10.1109/CEC.2014.6900380}, DOI={10.1109/cec.2014.6900380}, booktitle={2014 IEEE Congress on Evolutionary Computation (CEC)}, publisher={IEEE}, author={Tanabe, Ryoji and Fukunaga, Alex S.}, year={2014}, month=jul }