Leader Slime Mould Algorithm

版本 1.0.0 (6.0 KB) 作者: Manoj Kumar Naik

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

关注

0.0

(0)

263.0 次下载

更新时间 2021/9/2

查看许可证

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

引用格式

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.

查看更多格式

MATLAB 版本兼容性

创建方式 R2018b

兼容任何版本

平台兼容性

Windows macOS Linux

标签添加标签

致谢

参考作品: Slime Mould Algorithm (SMA): A Method for Optimization

启发作品: Equilibrium Slime Mould Algorithm (ESMA) Source Code

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

版本	已发布	发行说明
1.0.0	2021/9/2		下载

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} }