Soft Computing in Earthquake Engineering: a Short Overview
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- @Article{Fister:2014:IREHM,
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author = "Iztok Fister and Amir H. Gandomi and
Iztok {Fister, Jr.} and Mehdi Mousavi and Ali Farhadi",
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title = "Soft Computing in Earthquake Engineering: a Short
Overview",
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journal = "International Journal of Earthquake Engineering and
Hazard Mitigation",
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year = "2014",
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volume = "2",
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number = "2",
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pages = "42--48",
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month = jun,
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keywords = "genetic algorithms, genetic programming, Earthquake
Engineering, Optimal Seismic Design, Earthquake
Prediction, Data Analysis",
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ISSN = "2282-7226",
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URL = "http://www.iztok-jr-fister.eu/static/publications/19.pdf",
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URL = "http://www.praiseworthyprize.org/jsm/index.php?journal=irehm&page=article&op=view&path[]=15798",
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size = "7 pages",
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abstract = "Soft Computing refers to the name for solving the
hardest problems with which human are confronted today
that tolerates the imprecision, uncertainty, partial
truth, and approximation of the solutions. Nature
inspired algorithms, like evolutionary algorithms,
swarm intelligence, and neural networks become one of
the leading methods for solving these problems. The
soft computing methods have also been applied for
solving the earthquake engineering problems. In this
paper, a short review of these methods is presented. In
line with this, the problems solved by soft computing
algorithms are identified, then, the characteristics of
these algorithms are exposed and finally, the
applications of the soft computing algorithms are
identified. The paper concludes with an overview of the
possible directions for further development.",
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notes = "IREHM
http://www.praiseworthyprize.org/jsm/?journal=irehm",
- }
Genetic Programming entries for
Iztok Fister
A H Gandomi
Iztok Fister Jr
Mehdi Mousavi
Ali Farhadi
Citations