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Informatikai Tanszékcsoport>>> Oktatás>>> In English

A Graphical User Interface for Evolutionary Algorithms1

 

 

  Zoltán Tóth 2

 

  Acta Cybernetica 16 (2003) 337-365.


Abstract:

 

 The purpose of Generic Evolutionary Algorithms Programming Library (GEA 3) system is to provide researchers with an easy-to-use, widely applicable and extendable 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 GEA can be effectively applied on many problems. GraphGEA is a graphical user interface to GEA written with the GTK API. The numerous parameters of the evolutionary algorithm can be set in appropriate dialog 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 GraphGEA, and the results and behavior of the EA can be observed on several selected graphs and drawings. While the main purpose of GEA is solving optimization problems, that of 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 analyze an EA's behavior on particular problems.


Footnotes

 

 ... Algorithms 1

 This work was supported by the grants of the German Academic Exchange Service (DAAD)

 ...óth 2

 Institute of Informatics, University of Szeged, Árpád tér 2, H-6720 Szeged, Hungary. Now visiting Department of Computer Science 2: Programming Systems, Friedrich-Alexander University of Erlangen-Nuremberg, Martensstr. 3, D-91058 Erlangen, Germany. e-mail: zntoth@inf.u-szeged.hu

 ... (GEA 3

 The project's home page can be found at http://gea.ztoth.net

 

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