Genetic programming applied to the identification of accidents of a PWR nuclear power plant
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- @Article{PINHEIRO:2019:ANE,
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author = "Victor Henrique Cabral Pinheiro and Roberto Schirru",
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title = "Genetic programming applied to the identification of
accidents of a PWR nuclear power plant",
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journal = "Annals of Nuclear Energy",
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volume = "124",
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pages = "335--341",
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year = "2019",
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keywords = "genetic algorithms, genetic programming, Nuclear
accident identification problem, Machine learning",
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ISSN = "0306-4549",
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DOI = "doi:10.1016/j.anucene.2018.09.039",
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URL = "http://www.sciencedirect.com/science/article/pii/S030645491830519X",
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abstract = "The nuclear accident identification problem has been
developed quite extensively in the literature, with
numerous statistical methods and artificial
intelligence techniques having been employed over the
years to deal with this important safety matter. This
article presents, for the first time, the application
of genetic programming to this problem. The methodology
consisted in evaluating the efficiency of the algorithm
as a technique for the optimization and feature
generation in a pattern recognition system for the
diagnostic of accidents in a pressurized water reactor
nuclear power plant. Considering the set of the time
evolution of four physical variables for the three
accident scenarios approached, plus normal condition,
the task of genetic programming was to evolve
non-linear classifiers that would provide the largest
amount of discriminatory information for each of the
events and, consequently, better identification rates.
Genetic programming was proven to be a methodology
capable of attaining success rates of, or very close
to, 100percent, with quite simple parameterization of
the algorithm and at a very reasonable time, putting
itself in levels of performance similar or even
superior to other similar systems available in the
scientific literature, while also having the additional
advantage of requiring very little pretreatment, or a
priori knowledge, of the data",
- }
Genetic Programming entries for
Victor Henrique Cabral Pinheiro
Roberto Schirru
Citations