SOS.m

Version 1.1.0.0 (15.1 KB) by Doddy Prayogo
A new population-based metaheuristic algorithm for continuous numerical optimization problems.
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Updated 10 Jul 2015

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Symbiotic Organisms Search (SOS) is a new population-based metaheuristic algorithm. SOS is a simple and powerful optimization algorithm. Yet, it does not require the user to tune any algorithm-specific-control parameters, unlike most metaheuristic algorithms.
A MATLAB function code of SOS was implemented and can be downloaded here.
Total 26 benchmark functions were also included in the code, therefore, the users can investigate the performance of SOS in solving those functions or can compare it with other metaheuristic algorithms.
SOS was first presented in the article Min-Yuan Cheng, Doddy Prayogo. (2014). "Symbiotic Organisms Search: A new metaheuristic optimization algorithm". Computers and Structures. http://dx.doi.org/10.1016/j.compstruc.2014.03.007

Cite As

Doddy Prayogo (2024). SOS.m (https://www.mathworks.com/matlabcentral/fileexchange/47465-sos-m), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.1.0.0

Fix some errors
1.0.0.0