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 a suitable algorithm to select and scale spectrum-compatible ground motion records.
Yaghmaei-Sabegh, S., Karami, S., & Hosseini-Moghadam, M. (2017). Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms. Scientia Iranica, 24(3), 910-925. https://doi.org/10.24200/sci.2017.4075
MLA
Yaghmaei-Sabegh, S., Karami, S., & Hosseini-Moghadam, M. "Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms", Scientia Iranica, 24, 3, 2017, 910-925. doi: 10.24200/sci.2017.4075
HARVARD
Yaghmaei-Sabegh S., Karami S., Hosseini-Moghadam M. (2017). 'Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms', Scientia Iranica, 24(3), pp. 910-925. doi: 10.24200/sci.2017.4075
CHICAGO
S. Yaghmaei-Sabegh, S. Karami & M. Hosseini-Moghadam, "Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms," Scientia Iranica, 24 3 (2017): 910-925, doi: 10.24200/sci.2017.4075
VANCOUVER
Yaghmaei-Sabegh S., Karami S., Hosseini-Moghadam M. Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms. Scientia Iranica. 2017;24(3):910-925. doi: 10.24200/sci.2017.4075
