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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

68 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationParallel Problem Solving from Nature - PPSN 2002 - 7th International Conference, Proceedings
EditorsPanagiotis Adamidis, Juan Julian Merelo Guervos, Hans-Georg Beyer, Hans-Paul Schwefel, Jose-Luis Fernandez-Villacanas
PublisherSpringer Verlag
Pages665-675
Number of pages11
ISBN (Print)3540441395
Publication statusPublished - Jan 1 2002
Event7th International Conference on Parallel Problem Solving from Nature, PPSN 2002 - Granada, Spain
Duration: Sep 7 2002Sep 11 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2439
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Parallel Problem Solving from Nature, PPSN 2002
CountrySpain
CityGranada
Period9/7/029/11/02

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Arenas, M. G., Collet, P., Eiben, A. E., Jelasity, M., Merelo, J. J., Paechter, B., Preuß, M., & Schoenauer, M. (2002). A framework for distributed evolutionary algorithms. In P. Adamidis, J. J. M. Guervos, H-G. Beyer, H-P. Schwefel, & J-L. Fernandez-Villacanas (Eds.), Parallel Problem Solving from Nature - PPSN 2002 - 7th International Conference, Proceedings (pp. 665-675). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2439). Springer Verlag.