A Graphical User Interface for Evolutionary Algorithms

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@Article{Toth:2003:ActaCybernetica,

• author = "Zoltan Toth",
• title = "A Graphical User Interface for Evolutionary Algorithms",
• journal = "Acta Cybernetica",
• year = "2003",
• volume = "16",
• number = "2",
• pages = "337--365",
• keywords = "genetic algorithms, genetic programming",
• URL = "https://www.inf.u-szeged.hu/actacybernetica/edb/vol16n2/Toth_2003_ActaCybernetica.xml",
• URL = "http://www.inf.u-szeged.hu/actacybernetica/edb/vol16n2/pdf/Toth_2003_ActaCybernetica.pdf",
• size = "29 pages",
• 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.",
• notes = "https://www.inf.u-szeged.hu/en/kutatas/acta-cybernetica",

}

Genetic Programming entries for Zoltan Toth

Citations