A new genetic programming model for predicting settlement of shallow foundations

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@Article{Rezania:2007:CGTJ,

• author = "Mohammad Rezania and Akbar A. Javadia",
• title = "A new genetic programming model for predicting settlement of shallow foundations",
• journal = "Canadian Geotechnical Journal",
• year = "2007",
• volume = "44",
• number = "12",
• pages = "1462--1473",
• month = dec,
• keywords = "genetic algorithms, genetic programming, geotechnical models, foundation settlement, granular soils, evolutionary computation",
• ISSN = "0008-3674",
• DOI = "doi:10.1139/T07-063",
• size = "12 pages",
• abstract = "In this paper, a new genetic programming (GP) approach for predicting settlement of shallow foundations is presented. The GP model is developed and verified using a large database of standard penetration test (SPT) based case histories that involve measured settlements of shallow foundations. The results of the developed GP model are compared with those of a number of commonly used traditional methods and artificial neural network (ANN) based models. It is shown that the GP model is able to learn, with a very high accuracy, the complex relationship between foundation settlement and its contributing factors, and render this knowledge in the form of a function. The attained function can be used to generalise the learning and apply it to predict settlement of foundations for new cases not used in the development of the model. The advantages of the proposed GP model over the conventional and ANN based models are highlighted.",
• notes = "'Comparison of the results shows that predictions made by the proposed GP model provide significant improvements over the traditional methods and also outperform the ANN models.' p1471",

}

Genetic Programming entries for Mohammad Rezania Akbar A Javadia

Citations