Leader Slime Mould Algorithm

버전 1.0.0 (5.99 KB) 작성자: Manoj Kumar Naik

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

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다운로드 수: 240

업데이트 날짜: 2021/9/2

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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.

인용 양식

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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개발 환경: R2018b

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받음: Slime Mould Algorithm (SMA): A Method for Optimization

줌: Equilibrium Slime Mould Algorithm (ESMA) Source Code

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버전	게시됨	릴리스 정보
1.0.0	2021/9/2		다운로드

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} }