Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms

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 fit to the design spectrum, and the corresponding scales simultaneously during a hybrid-coded process. the effects of different 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.