A Graphical User Interface for Evolutionary Algorithms
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- @Article{Toth:2003:ActaCybernetica,
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author = "Zoltan Toth",
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title = "A Graphical User Interface for Evolutionary
Algorithms",
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journal = "Acta Cybernetica",
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year = "2003",
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volume = "16",
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number = "2",
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pages = "337--365",
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keywords = "genetic algorithms, genetic programming",
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URL = "https://www.inf.u-szeged.hu/actacybernetica/edb/vol16n2/Toth_2003_ActaCybernetica.xml",
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URL = "http://www.inf.u-szeged.hu/actacybernetica/edb/vol16n2/pdf/Toth_2003_ActaCybernetica.pdf",
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size = "29 pages",
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abstract = "The purpose of {\em Generic Evolutionary Algorithms
Programming Library (GEA\footnote{The project's home
page can be found at \tt http://gea.ztoth.net})} system
is to provide researchers with an easy-to-use, widely
applicable and extendible programming library which
solves real-world optimization problems by means of
evolutionary algorithms. It contains algorithms for
various evolutionary methods, implemented genetic
operators for the most common representation forms for
individuals, various selection methods, and examples on
how to use and expand the library. All these functions
assure that {\em GEA} can be effectively applied on
many problems. {\em GraphGEA} is a graphical user
interface to {\em GEA} written with the GTK API. The
numerous parameters of the evolutionary algorithm can
be set in appropriate dialogue boxes. The program also
checks the correctness of the parameters and
saving/restoring of parameter sets is also possible.
The selected evolutionary algorithm can be executed
interactively on the specified optimization problem
through the graphical user interface of {\em GraphGEA},
and the results and behaviour of the EA can be observed
on several selected graphs and drawings. While the main
purpose of {\em GEA} is solving optimization problems,
that of {\em GraphGEA} is education and analysis. It
can be of great help for students understanding the
characteristics of evolutionary algorithms and
researchers of the area can use it to analyse an EA's
behavior on particular problems.",
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notes = "https://www.inf.u-szeged.hu/en/kutatas/acta-cybernetica",
- }
Genetic Programming entries for
Zoltan Toth
Citations