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

Published: 07 July 2007 Publication 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.

Reference

[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.

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    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

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 07 July 2007

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    Author Tags

    1. genetic programming
    2. parallel and distributed EAs
    3. size evolution

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    GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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