Leader Slime Mould Algorithm

Versión 1.0.0 (5,99 KB) por Manoj Kumar Naik

This consists of Leader Slime Mould Algorithm (LSMA) MATLAB Source code

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A leader slime mould algorithm (LSMA) is suggested by incorporating the leader (best-so-far candidates) in guiding the search process of the SMA.

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Naik, Manoj Kumar, et al. “Normalized Square Difference Based Multilevel Thresholding Technique for Multispectral Images Using Leader Slime Mould Algorithm.” Journal of King Saud University - Computer and Information Sciences, Elsevier BV, Nov. 2020, doi:10.1016/j.jksuci.2020.10.030.

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Compatibilidad con la versión de MATLAB

Se creó con R2018b

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Inspirado por: Slime Mould Algorithm (SMA): A Method for Optimization

Inspiración para: Equilibrium Slime Mould Algorithm (ESMA) Source Code

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Versión	Publicado	Notas de la versión
1.0.0	2 sep 2021		Descargar

MLA	Naik, Manoj Kumar, et al. “Normalized Square Difference Based Multilevel Thresholding Technique for Multispectral Images Using Leader Slime Mould Algorithm.” Journal of King Saud University - Computer and Information Sciences, Elsevier BV, Nov. 2020, doi:10.1016/j.jksuci.2020.10.030.
APA	Naik, M. K., Panda, R., & Abraham, A. (2020). Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm. Journal of King Saud University - Computer and Information Sciences. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.jksuci.2020.10.030
BibTeX	@article{Naik_2020, doi = {10.1016/j.jksuci.2020.10.030}, url = {https://doi.org/10.1016%2Fj.jksuci.2020.10.030}, year = 2020, month = {nov}, publisher = {Elsevier {BV}}, author = {Manoj Kumar Naik and Rutuparna Panda and Ajith Abraham}, title = {Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm}, journal = {Journal of King Saud University - Computer and Information Sciences} }