Leader Slime Mould Algorithm

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

Manoj Kumar Naik

Version 1.0.0 (5,99 KB)

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2. Sep 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.

Zitieren als

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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Quellenangaben

Inspiriert von: Slime Mould Algorithm (SMA): A Method for Optimization

Inspiriert: Equilibrium Slime Mould Algorithm (ESMA) Source Code

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Version	Veröffentlicht	Versionshinweise	Action
1.0.0	2. Sep 2021		Herunterladen

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} }