Genetic programming for modelling of geotechnical engineering systems
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
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 DirectionsShahin, 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. ...
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 ...