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Parallel Architectures And Intrinsically Parallel Algorithms: Genetic Algorithms

Author

Listed:
  • R. CAMPANINI

    (Dipartimento di Fisica dell’Università and INFN Via Irnerio, 46–40126 Bologna, Italy)

  • G. DI CARO

    (Dipartimento di Fisica dell’Università and INFN Via Irnerio, 46–40126 Bologna, Italy)

  • M. VILLANI

    (Dipartimento di Fisica dell’Università and INFN Via Irnerio, 46–40126 Bologna, Italy)

  • I. D’ANTONE

    (Istituto Nazionale di Fisica Nucleare (INFN) Via Irnerio, 46–40126 Bologna, Italy)

  • G. GIUSTI

    (Corso di Laurea in Scienze dell’Informazione Università degli Studi di Bologna, Sede di Cesena Via Sacchi, 3–47023 Cesena(FO), Italy)

Abstract

Genetic algorithms are search or classification algorithms based on natural models. They present a high degree of internal parallelism. We developed two versions, differing in the way the population is organized and we studied and compared their characteristics and performances when applied to the optimization of multidimensional function problems. All the implementations are realized on transputer networks.

Suggested Citation

  • R. Campanini & G. Di Caro & M. Villani & I. D’Antone & G. Giusti, 1994. "Parallel Architectures And Intrinsically Parallel Algorithms: Genetic Algorithms," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 95-112.
    • Handle: RePEc:wsi:ijmpcx:v:05:y:1994:i:01:n:s012918319400009x
    DOI: 10.1142/S012918319400009X
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