%0 Journal Article
%T Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms
%J Scientia Iranica
%I Sharif University of Technology
%Z 1026-3098
%A Yaghmaei-Sabegh, S.
%A Karami, S.
%A Hosseini-Moghadam, M.
%D 2017
%\ 06/01/2017
%V 24
%N 3
%P 910-925
%! Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms
%K Ground motion scaling
%K Time history analysis
%K Design spectrum
%K Genetic Algorithm
%K Hybrid-coded genetic algorithm
%R 10.24200/sci.2017.4075
%X This paper presents a new searching framework for optimal scaling of earthquake ground motion records as inputs for dynamics analysis. Two hybrid-coded Genetic Algorithms (GA), named real-permutation and binary-permutation GA, are effectively used to solve an applicable optimization problem in earthquake engineering field. Methodologies are outlined to choose a set of ground motions, with a good level of t to the design spectrum, and the corresponding scales simultaneously during a hybrid-coded process. The effects of dierent parameters used in design of algorithms are investigated through sensitivity analysis to suggest a set of proper input values. Analysis showed that the sensitivity of the binary-permutation GA results to input parameters variations is less than that of real-permutation GA. The paper also concludes that binary-permutation GA is slightly more reliable than real-permutation GA; accordingly, it is recommended as asuitable algorithm to select and scale spectrum-compatible ground motion records.
%U https://scientiairanica.sharif.edu/article_4075_2326a94a34d95ae1460d8be83235f5db.pdf