Flexural buckling load prediction of aluminium alloy columns using soft computing techniques

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@Article{Cevik:2008:ESwA2,

• author = "Abdulkadir Cevik and Nihat Atmaca and Talha Ekmekyapar and Ibrahim H. Guzelbey",
• title = "Flexural buckling load prediction of aluminium alloy columns using soft computing techniques",
• journal = "Expert Systems with Applications",
• year = "2009",
• volume = "36",
• number = "3, Part 2",
• pages = "6332--6342",
• month = apr,
• keywords = "genetic algorithms, genetic programming, gene expression programming, Soft computing, Neural networks, Flexural buckling, Aluminium alloy columns",
• ISSN = "0957-4174",
• DOI = "doi:10.1016/j.eswa.2008.08.011",
• URL = "http://www.sciencedirect.com/science/article/B6V03-4TB6X28-1/2/3f64ccc54bc41be648922dc688ccad4a",
• size = "11 pages",
• abstract = "This paper presents the application of soft computing techniques for strength prediction of heat-treated extruded aluminium alloy columns failing by flexural buckling. Neural networks (NN) and genetic programming (GP) are presented as soft computing techniques used in the study. Gene-expression programming (GEP) which is an extension to GP is used. The training and test sets for soft computing models are obtained from experimental results available in literature. An algorithm is also developed for the optimal NN model selection process. The proposed NN and GEP models are presented in explicit form to be used in practical applications. The accuracy of the proposed soft computing models are compared with existing codes and are found to be more accurate.",

}

Genetic Programming entries for Abdulkadir Cevik Nihat Atmaca Talha Ekmekyapar Ibrahim H Guzelbey

Citations