Application of Genetic Programming in the Field of Geotechnical Engineering: A Review

Created by W.Langdon from gp-bibliography.bib Revision:1.8414

@InProceedings{sahare:2022:IGC,

• author = "Niraj J. Sahare and M. Raheena",
• title = "Application of Genetic Programming in the Field of Geotechnical Engineering: A Review",
• booktitle = "Proceedings of the Indian Geotechnical Conference, 2022, volume 10",
• year = "2022",
• editor = "Babu T. Jose and Dipak Kumar Sahoo and Sai K. Vanapalli and Chandresh H. Solanki and K. Balan and Anitha G. Pillai",
• volume = "538",
• series = "Lecture Notes in Civil Engineering",
• pages = "75--86",
• address = "Kochi, India",
• month = "15–17 " # dec,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-981-97-6172-2",
• URL = "https://link.springer.com/chapter/10.1007/978-981-97-6172-2_7",
• DOI = "doi:10.1007/978-981-97-6172-2_7",
• abstract = "Geotechnical Engineering largely focuses on the complex nature of soils and rocks. Because this complexity creates a high level of ambiguity in the imitation of these materials' nature. Genetic Programming (GP) has been initially developed by Koza (Genetic programming: on the programming of computers by natural selection. MIT Press, Cambridge (MA), 1992) and then used by many researchers in different areas including geotechnical engineering. This paper closely reviewed the application of GP in some areas of geotechnical engineering identified: settlement of the shallow foundation, bearing capacity of pile foundation, liquefaction assessment, estimation of pore water pressure, compaction parameters (OMC {\&} MDD), soil-fiber composite assessment, free swell and swell pressure, the effectiveness of rolling dynamic compaction, prediction of soil water characteristic curve, and unconfined compressive strength (UCS). GP has been getting success over the years, because of its ability to find the relationship between the input variable and predict the output variable. This paper also discusses the future scope of GP in some unexplored areas of geotechnical engineering.",
• notes = "GEOLEAP",

}

Genetic Programming entries for Niraj J Sahare M Raheena

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