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An Architecture for Massive Parallelization of the Compact Genetic Algorithm
Fernando G. Lobo, Cláudio F. Lima, and Hugo Mártires
ADEEC-FCT, Universidade do Algarve, Campus de Gambelas, 8000 Faro, Portugal.flobo@ualg.pt
clima@ualg.pt
hmartires@myrealbox.com
Abstract. This paper presents an architecture which is suitable for a massive parallelization of the compact genetic algorithm. The approach is scalable, has low synchronization costs, and is fault tolerant. The paper argues that the benefits that can be obtained with the proposed methodology is potentially higher than those obtained with traditional parallel genetic algorithms.
LNCS 3103, p. 412 f.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2004