A Genetic Programming-Based Approach for the Performance Characteristics Assessment of Stabilized Soil
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{books/sp/chiong2012/AlaviGM12,
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author = "Amir Hossein Alavi and Amir Hossein Gandomi and
Ali Mollahasani",
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title = "A Genetic Programming-Based Approach for the
Performance Characteristics Assessment of Stabilized
Soil",
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booktitle = "Variants of Evolutionary Algorithms for Real-World
Applications",
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publisher = "Springer",
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year = "2012",
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editor = "Raymond Chiong and Thomas Weise and
Zbigniew Michalewicz",
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chapter = "9",
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pages = "343--376",
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keywords = "genetic algorithms, genetic programming, Chemical
stabilisation, Simulated annealing, Nonlinear
modelling",
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isbn13 = "978-3-642-23423-1",
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DOI = "doi:10.1007/978-3-642-23424-8_11",
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abstract = "This chapter presents a variant of genetic
programming, namely linear genetic programming (LGP),
and a hybrid search algorithm coupling LGP and
simulated annealing (SA), called LGP/SA, to predict the
performance characteristics of stabilised soil. LGP and
LGP/SA relate the unconfined compressive strength
(UCS), maximum dry density (MDD), and optimum moisture
content (OMC) metrics of stabilised soil to the
properties of the natural soil as well as the types and
quantities of stabilizing additives. Different sets of
LGP and LGP/SA-based prediction models have been
separately developed. The contributions of the
parameters affecting UCS, MDD, and OMC are evaluated
through a sensitivity analysis. A subsequent parametric
analysis is carried out and the trends of the results
are compared with previous studies. A comprehensive set
of data obtained from the literature has been used for
developing the models. Experimental results confirm
that the accuracy of the proposed models is
satisfactory. In particular, the LGP-based models are
found to be more accurate than the LGP/SA-based
models.",
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affiliation = "School of Civil Engineering, Iran University of
Science and Technology, Tehran, Iran",
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bibdate = "2011-11-16",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/books/collections/Chiong2012.html#AlaviGM12",
- }
Genetic Programming entries for
A H Alavi
A H Gandomi
Ali Mollahasani
Citations