Reliability Analysis of Circular Footing by Using GP and MPMR
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Kumar:2021:IJAMC,
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author = "Rahul Kumar and Pijush Samui and Sunita Kumari and
Yildirim Huseyin Dalkilic",
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title = "Reliability Analysis of Circular Footing by Using {GP}
and {MPMR}",
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journal = "International Journal of Applied Metaheuristic
Computing",
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year = "2021",
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volume = "12",
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number = "1",
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pages = "1--19",
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month = jan # "-" # mar,
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keywords = "genetic algorithms, genetic programming, circular
footing, FOSM, GP, MPMR, reliability index, ultimate
bearing capacity",
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bibsource = "OAI-PMH server at oai.repec.org",
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identifier = "RePEc:igg:jamc00:v:12:y:2021:i:1:p:1-19",
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oai = "oai:RePEc:igg:jamc00:v:12:y:2021:i:1:p:1-19",
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URL = "https://www.igi-global.com/article/reliability-analysis-of-circular-footing-by-using-gp-and-mpmr/268388",
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DOI = "doi:10.4018/IJAMC.2021010101",
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abstract = "Circular footings are designed to bear a load of super
structures. Studies have been done on the influence of
soil properties on bearing capacity of shallow
foundations. The use of circular foundation is
practical in geotechnical engineering. During the
design of circular footing, bearing capacity of soil is
taken into consideration, and cohesion (c), unit weight
({$\gamma$}), and angle of internal friction ({$\phi$})
are the most variable parameters. Reliability analysis
is used frequently for the design of circular footing.
Most of the authors have used first order second moment
methods (FOSM). However, FOSM is a time-consuming
method. Drawbacks of FOSM have been overcome by genetic
programming (GP), minimax probability machine
regression (MPMR). This article gives a distinct
analysis between the developed MPMR based FOSM and
GP-based FOSM.",
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notes = "National Institute of Technology, Patna, India",
- }
Genetic Programming entries for
Rahul Kumar
Pijush Samui
Sunita Kumari
Yildirim Dalkilic
Citations