A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{journals/nca/AminianJAGE11,

• author = "Pejman Aminian and Mohamad Reza Javid and Abazar Asghari and Amir Hossein Gandomi and Milad {Arab Esmaeili}",
• title = "A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method",
• journal = "Neural Computing and Applications",
• year = "2011",
• number = "8",
• volume = "20",
• pages = "1321--1332",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, base shear, steel frame structures, simulated annealing, nonlinear modelling",
• ISSN = "0941-0643",
• DOI = "doi:10.1007/s00521-011-0689-0",
• size = "12 pages",
• abstract = "This study presents a new empirical model to estimate the base shear of plane steel structures subjected to earthquake load using a hybrid method integrating genetic programming (GP) and simulated annealing (SA), called GP/SA. The base shear of steel frames was formulated in terms of the number of bays, number of storey, soil type, and situation of braced or unbraced. A classical GP model was developed to benchmark the GP/SA model. The comprehensive database used for the development of the correlations was obtained from finite element analysis. A parametric analysis was carried out to evaluate the sensitivity of the base shear to the variation of the influencing parameters. The GP/SA and classical GP correlations provide a better prediction performance than the widely used UBC code and a neural network-based model found in the literature. The developed correlations may be used as quick checks on solutions developed by deterministic analyses.",
• notes = "Special Issue: ISNN 2010",
• affiliation = "Department of Civil Engineering, Islamic Azad University, Shahrood Branch, Shahrood, Iran",
• bibdate = "2011-10-18",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/nca/nca20.html#AminianJAGE11",

}

Genetic Programming entries for Pejman Aminian Mohamad Reza Javid Abazar Asghari A H Gandomi Milad Arab Esmaeili

Citations