Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization toolbox
SC-SAHEL optimization framework for solving single objective optimization problems
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SC-SAHEL framework is a single objective optimization algorithm which allows employing multiple Evolutionary Algorithms (EAs) as search cores. The framework evaluates the performance of the EAs and select the most suitable EA for evolving the population. For more details on the algorithm please refer to the algorithm manual.
Please reference to:
Matin Rahnamay Naeini, Tiantian Yang, Mojtaba Sadegh, Amir Aghakouchak, Kuo-lin Hsu, Soroosh Sorooshian, Qingyun Duan, and Xiaohui Lei. "Shuffled complex-self adaptive hybrid evolution (SC-SAHEL) optimization framework." Environmental Modelling & Software, 104:215 - 235, 2018.
https://www.sciencedirect.com/science/article/pii/S1364815217310873
Cite As
Matin Rahnamay Naeini (2026). Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization toolbox (https://www.mathworks.com/matlabcentral/fileexchange/66595-shuffled-complex-self-adaptive-hybrid-evolution-sc-sahel-optimization-toolbox), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.06 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Bugs are fixed.
Manual is updated.
|
