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Dynamic populations and length evolution: key factors for analyzing fault tolerance on parallel genetic programming

Published:07 July 2007Publication History

ABSTRACT

This paper presents an experimental research on the size of individuals when fixed and dynamic size populationsare employed with Genetic Programming (GP). We propose an improvement to the Plague operator (PO), that we have called Random Plague (RPO). Then by further studies based on the RPO results we analyzed the Fault Tolerance onParallel Genetic Programming.

References

  1. D. Lombraña Glez. and F. Fernández de Vega. On the intrinsic fault-tolerance nature of parallel genetic programming. The 15th. Euromicro Conference on Parallel, Distributed and Network-based Processing, 2007. pp. 450--458. IEEE CS. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Dynamic populations and length evolution: key factors for analyzing fault tolerance on parallel genetic programming

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    • Published in

      cover image ACM Conferences
      GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
      July 2007
      2313 pages
      ISBN:9781595936974
      DOI:10.1145/1276958

      Copyright © 2007 author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 July 2007

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      GECCO '07 Paper Acceptance Rate266of577submissions,46%Overall Acceptance Rate1,669of4,410submissions,38%

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