The GBO, inspired by the gradient-based Newton’s method, uses two main operators: gradient search rule (GSR) and local escaping operator (LEO) and a set of vectors to explore the search space. The GSR employs the gradient-based method to enhance the exploration tendency and accelerate the convergence rate to achieve better positions in the search space. The LEO enables the proposed GBO to escape from local optima.
iman ahmadianfar (2020). Gradient-based optimizer (GBO) (https://www.mathworks.com/matlabcentral/fileexchange/81703-gradient-based-optimizer-gbo), MATLAB Central File Exchange. Retrieved .
Ahmadianfar, Iman, Omid Bozorg-Haddad, and Xuefeng Chu. "Gradient-based optimizer: A new Metaheuristic optimization algorithm." Information Sciences 540 (2020): 131-159.
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