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Object-oriented library of parallel genetic algorithms and its implementation on workstations and HP/Convex Exemplar

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High-Performance Computing and Networking (HPCN-Europe 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1225))

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Abstract

This paper presents an object-oriented library of parallel genetic algorithms based on TOLKIEN C++ sequential library. SPMD programming paradigm is applied and Para++ environment is used for message passing. Two main approaches to parallelisation of genetic algorithms were applied: island and global population models. The library was implemented on heterogeneous network of workstations and on HP/Convex Exemplar SPP1600. Obtained results confirm that the library enables easy development of parallel programs exploiting genetic algorithm approach.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, AGH, al. Mickiewicza 30, 30-059, Kraków, Poland

    Marian Bubak, Waldemar Cieśla & Krzysztof Sowa

  2. Academic Computer Centre - CYFRONET, Nawojki 11, 30-950, Kraków, Poland

    Marian Bubak

Authors
  1. Marian Bubak
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  2. Waldemar Cieśla
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  3. Krzysztof Sowa
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Bob Hertzberger Peter Sloot

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© 1997 Springer-Verlag Berlin Heidelberg

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Bubak, M., Cieśla, W., Sowa, K. (1997). Object-oriented library of parallel genetic algorithms and its implementation on workstations and HP/Convex Exemplar. In: Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1997. Lecture Notes in Computer Science, vol 1225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0031624

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  • DOI: https://doi.org/10.1007/BFb0031624

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62898-9

  • Online ISBN: 978-3-540-69041-2

  • eBook Packages: Springer Book Archive

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