New Ground-Motion Prediction Equations Using Multi Expression Programing

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Alavi:2011:JEQE,

• author = "Amir Hossein Alavi and Amir Hossein Gandomi and Minoo Modaresnezhad and Mehdi Mousavi",
• title = "New Ground-Motion Prediction Equations Using Multi Expression Programing",
• journal = "Journal of Earthquake Engineering",
• year = "2011",
• volume = "15",
• number = "4",
• pages = "511--536",
• keywords = "genetic algorithms, genetic programming, Multi-Expression Programming, Time-Domain Ground-Motion Parameters, Attenuation Relationship, Nonlinear Modelling",
• ISSN = "1363-2469",
• URL = "http://www.tandfonline.com/doi/abs/10.1080/13632469.2010.526752#.UlMR6NKc_G0",
• DOI = "doi:10.1080/13632469.2010.526752",
• size = "26 pages",
• abstract = "High-precision attenuation models were derived to estimate peak ground acceleration (PGA), velocity (PGV), and displacement (PGD) using a new variant of genetic programming, namely multi expression programming (MEP). The models were established based on an extensive database of ground-motion recordings released by Pacific Earthquake Engineering Research Center (PEER). For more validity verification, the models were employed to predict the ground-motion parameters of the Iranian plateau earthquakes. The results indicate that the MEP attenuation models are capable of effectively estimating the peak ground-motion parameters. The proposed models are able to reach a prediction performance comparable with the attenuation relationships found in the literature.",

}

Genetic Programming entries for A H Alavi A H Gandomi Minoo Modaresnezhad Mehdi Mousavi

Citations