GoldSA(N,Max_iterat​ion,Lb,Ub,dim,func_​obj)

Version 1.0.0.1 (53.1 KB) by Erkan TANYILDIZI
Golden Sine Algorithm is metaheuristic method for solving optimization problems
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Updated 21 Nov 2019

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Golden Sine Algorithm (Gold-SA) is presented as a new metaheuristic method for solving optimization problems. Gold-SA has been developed as a new search algorithm based on population. In the algorithm, random individuals are created as many as the number of search agents with uniform distribution for each dimension. The Gold-SA operator searches to achieve a better solution in each iteration by trying to bring the current situation closer to the target value. The solution space is narrowed by the golden section so that the areas that are supposed to give only good results are scanned instead of the whole solution space scan.

Tanyildizi, Erkan, and Gokhan Demir. "Golden sine algorithm: a novel math-inspired algorithm." Advances in Electrical and Computer Engineering, vol. 17, no. 2, 2017, p. 71-78

Cite As

Erkan TANYILDIZI (2024). GoldSA(N,Max_iteration,Lb,Ub,dim,func_obj) (https://www.mathworks.com/matlabcentral/fileexchange/67073-goldsa-n-max_iteration-lb-ub-dim-func_obj), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.1

Tanyildizi, Erkan, and Gokhan Demir. "Golden sine algorithm: a novel math-inspired algorithm." Advances in Electrical and Computer Engineering, vol. 17, no. 2, 2017, p. 71-78
1.0.0.0

GoldSA