Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization toolbox

Version 1.0.0.0 (1.06 MB) by Matin Rahnamay Naeini
SC-SAHEL optimization framework for solving single objective optimization problems
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Updated 26 Apr 2018

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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 (2024). 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 .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.0

Bugs are fixed.
Manual Added.
Manual is slightly updated.

Manual is updated.
Description added.
Test cases are updated.
Directories updated.
Manual is revised. Test cases are added.