Leader Slime Mould Algorithm

Version 1.0.0 (5,99 ko) par Manoj Kumar Naik

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

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Mise à jour 2 sept. 2021

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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.

Citation pour cette source

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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Compatibilité avec les versions de MATLAB

Créé avec R2018b

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Inspiré par : Slime Mould Algorithm (SMA): A Method for Optimization

A inspiré : Equilibrium Slime Mould Algorithm (ESMA) Source Code

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Version	Publié le	Notes de version
1.0.0	2 sept. 2021		Télécharger

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} }