Search Group Algorithm (matlab code)
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 .
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- Mathematics and Optimization > Global Optimization Toolbox > Direct Search >
- Mathematics and Optimization > Global Optimization Toolbox > Multiobjective Optimization >
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