TY - JOUR ID - 4075 TI - Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Yaghmaei-Sabegh, S. AU - Karami, S. AU - Hosseini-Moghadam, M. AD - Department of Civil Engineering, University of Tabriz, Tabriz, Iran. AD - East Azarbaijan Science & Research Branch, Islamic Azad University, Tabriz, Iran. Y1 - 2017 PY - 2017 VL - 24 IS - 3 SP - 910 EP - 925 KW - Ground motion scaling KW - Time history analysis KW - Design spectrum KW - Genetic Algorithm KW - Hybrid-coded genetic algorithm DO - 10.24200/sci.2017.4075 N2 - 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 eff ectively 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 eff ects of di erent 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. UR - https://scientiairanica.sharif.edu/article_4075.html L1 - https://scientiairanica.sharif.edu/article_4075_2326a94a34d95ae1460d8be83235f5db.pdf ER -