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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.
Cite As
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.
Acknowledgements
Inspired by: Slime Mould Algorithm (SMA): A Method for Optimization
Inspired: Equilibrium Slime Mould Algorithm (ESMA) Source Code
General Information
- Version 1.0.0 (5.99 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
