Genetic Programming for Modelling of Geotechnical Engineering Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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",
  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

Citations