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International Parallel Processing Symposium

IPPS 1999: Parallel and Distributed Processing pp 192–200Cite as

Distributed scheduling with decomposed optimization criterion: Genetic programming approach

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1586))

Abstract

A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of the global optimization criteria. For this purpose a program graph is interpreted as a multi-agent system. A game-theoretic model of interaction between agents is applied. Competetive coevolutionary genetic algorithm, termed loosely coupled genetic algorithm, is used to implement the multi-agent system. To make the algorithm trully distributed, decomposition of the global optimization criterion into local criteria is proposed. This decomposition is evolved with genetic programming. Results of succesive experimental study of the proposed algorithm are presented.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri at St. Louis, 63121, St. Louis, MO, USA

    Franciszek Seredyński & Cezary Z. Janikow

  2. Institute of Computer Science, Polish Academy of Sciences, Ordona 21, 01-237, Warsaw, Poland

    Franciszek Seredyński & Jacek Koronacki

Authors
  1. Franciszek Seredyński
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  2. Jacek Koronacki
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  3. Cezary Z. Janikow
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Editor information

José Rolim Frank Mueller Albert Y. Zomaya Fikret Ercal Stephan Olariu Binoy Ravindran Jan Gustafsson Hiroaki Takada Ron Olsson Laxmikant V. Kale Pete Beckman Matthew Haines Hossam ElGindy Denis Caromel Serge Chaumette Geoffrey Fox Yi Pan Keqin Li Tao Yang G. Chiola G. Conte L. V. Mancini Domenique Méry Beverly Sanders Devesh Bhatt Viktor Prasanna

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© 1999 Springer-Verlag

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Seredyński, F., Koronacki, J., Janikow, C.Z. (1999). Distributed scheduling with decomposed optimization criterion: Genetic programming approach. In: Rolim, J., et al. Parallel and Distributed Processing. IPPS 1999. Lecture Notes in Computer Science, vol 1586. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0097900

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  • DOI: https://doi.org/10.1007/BFb0097900

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65831-3

  • Online ISBN: 978-3-540-48932-0

  • eBook Packages: Springer Book Archive

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