Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Genetic programming for modelling of geotechnical engineering systems

    Access Status
    Fulltext not available
    Authors
    Shahin, Mohamed
    Date
    2015
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Shahin, M. 2015. Genetic programming for modelling of geotechnical engineering systems, in Handbook of Genetic Programming Applications, pp. 37-57. Switzerland: Springer.
    Source Title
    Handbook of Genetic Programming Applications
    DOI
    10.1007/978-3-319-20883-1_2
    ISBN
    978-3-319-20882-4
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/59372
    Collection
    • Curtin Research Publications
    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.

    Related items

    Showing items related by title, author, creator and subject.

    • Engaging and Effective Laboratory Classes in Geotechnical Engineering
      Jaksa, M.; Kuo, Y.; Shahin, Mohamed; Yuen, S.; Airey, D.; Kodikara, J. (2016)
      Most geotechnical engineering educators would agree that experience in the laboratory by geotechnical engineering students is an essential part of their university education. Traditional geotechnical engineering practical ...
    • Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Directions
      Shahin, Mohamed (2012)
      Geotechnical engineering deals with materials (e.g., soil and rock) that, by their very nature, exhibit varied and uncertain behavior due to the imprecise physical processes associated with the formation of these materials. ...
    • Genetic programming for modelling of geotechnical engineering systems
      Shahin, Mohamed (2015)
      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 ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.