Costa, Rodolfo Ayala LopesFreitas, Alan Robert Resende deSilva, Rodrigo César Pedrosa2022-02-072022-02-072021COSTA, R. A. L.; FREITAS, A. R. R. de; SILVA, R. C. P. Local search with groups of step sizes. Operations Research Letters, v. 49, p. 385-392, 2021. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S016763772100050X>. Acesso em: 25 ago. 2021.0167-6377http://www.repositorio.ufop.br/jspui/handle/123456789/14444Local search methods for continuous optimization problems tend to be sensitive to the choice of step sizes in their search directions. This paper presents the Local Search with Groups of Step Sizes (LSGSS) method, a derivative-free method that reactively updates groups of promising step sizes for each problem coordinate. The experiments demonstrate LSGSS could find the best solutions for each large-scale benchmark problem when compared to classical methods.en-USrestritoContinuous optimizationDerivative-free local searchArtigo publicado em periodicohttps://www.sciencedirect.com/science/article/abs/pii/S016763772100050Xhttps://doi.org/10.1016/j.orl.2021.03.009