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Meta-optimizing semantic evolutionary search

Published: 07 July 2007 Publication History

Abstract

No abstract available.

References

[1]
M. V. Butz. Rule-based Evolutionary Online Learning Systems. PhD thesis, UIUC, 2004.
[2]
J. R. Koza. Genetic Programming. MIT Press, 1992.
[3]
W. B. Langdon and R. Poli. Better trained ants for GP. Technical report, University of Birmingham, 1998.
[4]
M. Looks. Competent Program Evolution. PhD thesis, Washington University in St. Louis, 2006.
[5]
M. Pelikan and D. E. Goldberg. A hierarchy machine. Complexity, 2003.

Cited By

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  • (2023)Purely Symbolic Induction of StructureArtificial General Intelligence10.1007/978-3-031-19907-3_13(134-144)Online publication date: 14-Jan-2023
  • (2016)Public Health SurveillanceArtificial Intelligence in Behavioral and Mental Health Care10.1016/B978-0-12-420248-1.00009-X(205-230)Online publication date: 2016
  • (2014)Predicting the Risk of Suicide by Analyzing the Text of Clinical NotesPLoS ONE10.1371/journal.pone.00857339:1(e85733)Online publication date: 28-Jan-2014
  1. Meta-optimizing semantic evolutionary search

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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

    Publication History

    Published: 07 July 2007

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    Author Tags

    1. empirical study
    2. heuristics
    3. optimization
    4. representations

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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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    View all
    • (2023)Purely Symbolic Induction of StructureArtificial General Intelligence10.1007/978-3-031-19907-3_13(134-144)Online publication date: 14-Jan-2023
    • (2016)Public Health SurveillanceArtificial Intelligence in Behavioral and Mental Health Care10.1016/B978-0-12-420248-1.00009-X(205-230)Online publication date: 2016
    • (2014)Predicting the Risk of Suicide by Analyzing the Text of Clinical NotesPLoS ONE10.1371/journal.pone.00857339:1(e85733)Online publication date: 28-Jan-2014

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