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An Evolutionary Optimum Searching Tool

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Engineering of Intelligent Systems (IEA/AIE 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

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Abstract

This paper is an introduction to the Generic Evolutionary Algorithms Programming Library (GEA) system. The purpose of the GEA system is to provide researchers with an easy-to-use and extendable programming library which can solve optimization problems by means of evolutionary algorithms. GEA is implemented in the ANSI C++ programming language and is designed in a way that enables users to integrate new methods and individual representation forms easily1

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References

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Szeged, Árpád tér 2, H-6720, Szeged, Hungary

    Zoltán Tóth

  2. Department of Computer Science, Programming Languages Friedrich-Alexander University of Erlangen-Nürnberg, Martensstr. 3, D-91058, Erlangen, Germany

    Gabriella Kókai

Authors
  1. Zoltán Tóth
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  2. Gabriella Kókai
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Tóth, Z., Kókai, G. (2001). An Evolutionary Optimum Searching Tool. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_3

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  • DOI: https://doi.org/10.1007/3-540-45517-5_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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