Genetic Programming for Modelling of Geotechnical Engineering Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InCollection{Shahin:2015:hbgpa,

• author = "Mohamed A. Shahin",
• title = "Genetic Programming for Modelling of Geotechnical Engineering Systems",
• booktitle = "Handbook of Genetic Programming Applications",
• publisher = "Springer",
• year = "2015",
• editor = "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
• chapter = "2",
• pages = "37--57",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-319-20882-4",
• URL = "http://hdl.handle.net/20.500.11937/59372",
• DOI = "doi:10.1007/978-3-319-20883-1_2",
• abstract = "Over the last decade or so, artificial intelligence (AI) has proved to provide a high level of competency in solving many geotechnical engineering problems that are beyond the computational capability of classical mathematics and traditional procedures. This chapter presents one of the most interesting AI techniques, i.e. genetic programming (GP), and its applications in geotechnical engineering. In the last few years, GP, which is inspired by natural evolution of the human being, has proved to be successful in modelling several geotechnical engineering problems and has demonstrated superior predictive ability compared to traditional methods. In this chapter, the modelling aspects and formulation of GP are described and explained in some detail and an overview of most successful GP applications in geotechnical engineering are presented and discussed.",

}

Genetic Programming entries for Mohamed Shahin

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