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2025 | OriginalPaper | Chapter

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

Authors : Niraj J. Sahare, M. Raheena

Published in: Proceedings of the Indian Geotechnical Conference 2022 Volume 10

Publisher: Springer Nature Singapore

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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.

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previous chapter Analysis of Piles in Liquefied and Non-liquefied Sands Due to Earthquake Vibrations Using Opensees
next chapter Effect of Sample Preparation Technique on Strain Localization of Dense Sand Under Biaxial Test Condition
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Metadata
Title
Application of Genetic Programming in the Field of Geotechnical Engineering—A Review
Authors
Niraj J. Sahare
M. Raheena
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Proceedings of the Indian Geotechnical Conference 2022 Volume 10

Print ISBN: 978-981-9761-71-5

Electronic ISBN: 978-981-9761-72-2

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-97-6172-2_7