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A Framework for Distributed Evolutionary Algorithms

  • M. G. Arenas
  • Pierre Collet
  • A. E. Eiben
  • Márk Jelasity
  • J. J. Merelo
  • Ben Paechter
  • Mike Preuß
  • Marc Schoenauer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2439)

Abstract

This paper describes the recently released DREAM (Distributed Resource Evolutionary Algorithm Machine)framework for the automatic distribution of evolutionary algorithm (EA)processing through a virtual machine built from large numbers of individual machines linked by standard Internet protocols.The framework allows five different user entry points which depend on the knowledge and requirements of the user. At the highest level, users may specify and run distributed EAs simply by manipulating graphical displays. At the lowest level the framework turns becomes a P2P (Peer to Peer)mobile agent system,that may be used for the automatic distribution of a class of processes including,but not limited to, EAs.

Keywords

Evolutionary Algorithm Virtual Machine Evolutionary Computation Mobile Agent System Evolutionary Library 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • M. G. Arenas
    • 3
  • Pierre Collet
    • 2
  • A. E. Eiben
    • 1
  • Márk Jelasity
    • 1
  • J. J. Merelo
    • 3
  • Ben Paechter
    • 4
  • Mike Preuß
    • 5
  • Marc Schoenauer
    • 2
  1. 1.Free University of AmsterdamAmsterdamThe Netherlands
  2. 2.Ecole PolytechniquePalaiseauFrance
  3. 3.Universidad de GranadaGranadaSpain
  4. 4.Napier UniversityEdinburghScotland
  5. 5.University of DortmundDortmundGermany

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