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Experiences with the PGAPack Parallel Genetic Algorithm Library

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Evolutionary Algorithms

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 111))

Abstract

PGAPack is the first widely-distributed parallel genetic algorithm library. Since its release, several thousand copies have been distributed worldwide to interested users. In this paper we discuss the key components of the PGAPack design philosophy and present a number of application examples that use PGAPack.

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Author information

Author notes

  1. David Levine

    Present address: Boeing Information & Support Services, PO Box 3707, MS 7L-20, Seattle, WA, 98124-2207, USA

  2. Philip Hallstrom

    Present address: Dunn Systems, Inc., Lincolnwood, Illinois, USA

  3. David Noelle

    Present address: Computer Science Department, UCLA, Los Angeles, CA, 90024, USA

  4. Brian Walenz

    Present address: Org. 9223, Sandia National Laboratories, MS 1110, Albuquerque, NM, 87185-1110, USA

Authors and Affiliations

    Authors
    1. David Levine
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    2. Philip Hallstrom
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    3. David Noelle
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    4. Brian Walenz
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    Editor information

    Editors and Affiliations

    1. Tica Associates, Newbury, MA, 019151, USA

      Lawrence David Davis

    2. Computer Science Department, George Mason University, Fairfax, VA, 22030-4444, USA

      Kenneth De Jong

    3. Computer Science Department, The University of Tennessee, Knoxville, TN, 37996-1301, USA

      Michael D. Vose

    4. Computer Science Department, Colorado State University, Fort Collins, CO, 80523, USA

      L. Darrell Whitley

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    © 1999 Springer Science+Business Media New York

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    Levine, D., Hallstrom, P., Noelle, D., Walenz, B. (1999). Experiences with the PGAPack Parallel Genetic Algorithm Library. In: Davis, L.D., De Jong, K., Vose, M.D., Whitley, L.D. (eds) Evolutionary Algorithms. The IMA Volumes in Mathematics and its Applications, vol 111. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1542-4_7

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    • DOI: https://doi.org/10.1007/978-1-4612-1542-4_7

    • Publisher Name: Springer, New York, NY

    • Print ISBN: 978-1-4612-7185-7

    • Online ISBN: 978-1-4612-1542-4

    • eBook Packages: Springer Book Archive

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