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A Framework for Distributed Evolutionary Algorithms

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Parallel Problem Solving from Nature — PPSN VII (PPSN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2439))

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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.

This work is funded as part of the European Commission Information Society Technologies Program (Future and Emerging Technologies).The authors have sole responsibility for this work, it does not represent the opinion of the European Community, and the European Community is not responsible for any use that may be made of the data appearing herein.

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References

  1. M. Arenas, L. Foucart, J. Merelo, and P.A. Castillo. Jeo:a framework for evolving objects in java.In Actas Jornadas de Paralelismo.Universidad Politécnica de Valencia, 2001.

    Google Scholar 

  2. M. Arenas, L. Foucart, M. Schoenauer, and J. Merelo.Computacin evolutiva en java:Jeo.pages 46–53.Universidad de Extremadura,Febrero2002.

    Google Scholar 

  3. P. Collet, E.L.M. Schoenauer, and J. Louchet. Take it easea. In Parallel Problem Solving from Nature VI,pages 891–901.Springer Verlag, LNCS 1917, 2000.

    Chapter  Google Scholar 

  4. A. Demers, D. Greene, C. Hauser, W. Irish, J. Larson, S. Shenker, H. Sturgis, D. Swinehart, and D. Terry. Epidemic algorithms for replicated database management.In Proc.6th Annual ACM Symposium on Principles of Distributed Computing (PODC’ 87),pages 1–12,Vancouver, Aug.1987.ACM.

    Google Scholar 

  5. P.T. Eugster, R. Guerraoui, S.B. Handurukande, A.-M. Kermarrec, and P. Kouznetsov. Lightweight probablistic broadcast.In Proc.International Conference on Dependable Systems and Networks (DSN 2001),Göteborg, Sweden, 2001.

    Google Scholar 

  6. M. Jelasity, M. Preuß, and B. Paechter. A scalable and robust framework for distributed applications.In CEC2002, pages 1540–1545. IEEE, IEEE Press, 2002.

    Google Scholar 

  7. M. Jelasity, M. Preuß, M. vanSteen, and B. Paechter. Maintaining connectivity in a scalable and robust distributed environment.In H.E. Bal et al.,eds, Proc.2nd IEEE Intl Symposium on Cluster Computing and the Grid (CCGrid2002), Berlin, Germany, pages 389–394,2002.

    Google Scholar 

  8. M. Keijzer, J.J. Merelo, G. Romero, and M. Schoenauer. Evolving objects:a general purpose evolutionary computation library.In P. Collet et al.,eds, Artificial Evolution’ 01.pages 229–241, Springer Verlag, LNCS 2310, 2002.

    Chapter  Google Scholar 

  9. E. Lutton, P. Collet, and J. Louchet. Easea comparisons on test functions:Galib versus eo.In P. Collet et al.,eds, Artificial Evolution’ 01. pages 217–228,Springer Verlag, LNCS2310, 2002.

    Chapter  Google Scholar 

  10. B. Paechter, T. Bäck, M. Schoenauer, M. Sebag, A.E. Eiben, J.J. Merelo, and T.C. Fogarty. A distributed resoucre evolutionary algorithm machine (DREAM).In CEC2000,pages 951–958.IEEE, IEEE Press, 2000.

    Google Scholar 

  11. M. Wall.http://lancet.mit.edu/ga/.

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© 2002 Springer-Verlag Berlin Heidelberg

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Arenas, M.G. et al. (2002). A Framework for Distributed Evolutionary Algorithms. In: Guervós, J.J.M., Adamidis, P., Beyer, HG., Schwefel, HP., Fernández-Villacañas, JL. (eds) Parallel Problem Solving from Nature — PPSN VII. PPSN 2002. Lecture Notes in Computer Science, vol 2439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45712-7_64

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  • DOI: https://doi.org/10.1007/3-540-45712-7_64

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  • Print ISBN: 978-3-540-44139-7

  • Online ISBN: 978-3-540-45712-1

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