PARALLEL ARCHITECTURES AND INTRINSICALLY PARALLEL ALGORITHMS: GENETIC ALGORITHMS

R. Campanini, G. Di Caro, M. Villani, I. D’antone and G. Giusti
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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

International Journal of Modern Physics C (IJMPC), 1994, vol. 05, issue 01, 95-112

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.

Keywords: Optimization; Genetic Algorithm; Parallelism; Transputer (search for similar items in EconPapers)
Date: 1994
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DOI: 10.1142/S012918319400009X

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