Search Group Algorithm (matlab code)

Version 2.0.0.0 (131 KB) by Rafael Holdorf Lopez
Matlab code of the recently developed Search Group Algorithm (SGA)
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Updated 1 Oct 2015

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The Search Group Algorithm (SGA) is a metaheuristic optimization method for nonlinear, nonconvex, nonsmooth, multimodal, bounded optimization problems. You may also find a tutorial in a pdf file, which is a step by step explanation about how to use the SGA code. The sections and equations cited in this file refer to the paper that presented the SGA:
M.S. Gonçalves, R.H. Lopez, L.F.F. Miguel, “Search group algorithm: A new metaheuristic method for the optimization of truss structures”, Computers & Structures, 153:165-184, 2015. DOI: 0.1016/j.compstruc.2015.03.003
This paper may also be download at Research Gate:
https://www.researchgate.net/publication/274253521_Search_group_algorithm_A_new_metaheuristic_method_for_the_optimization_of_truss_structures

or from science direct at:

http://www.sciencedirect.com/science/article/pii/S0045794915000851

Cite As

Rafael Holdorf Lopez (2024). Search Group Algorithm (matlab code) (https://www.mathworks.com/matlabcentral/fileexchange/50598-search-group-algorithm-matlab-code), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
2.0.0.0

In the version 2.0, some bugs have been eliminated and all the codes are commented in English.
In this second version, some bugs have been eliminated and all the codes are commented in English.
1.0.0.0