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Title: Local search with groups of step sizes.
Authors: Costa, Rodolfo Ayala Lopes
Freitas, Alan Robert Resende de
Silva, Rodrigo César Pedrosa
Keywords: Continuous optimization
Derivative-free local search
Issue Date: 2021
Citation: COSTA, 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: <>. Acesso em: 25 ago. 2021.
Abstract: Local 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.
ISSN: 0167-6377
Appears in Collections:DECOM - Artigos publicados em periódicos

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