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سند علمی

Efficient VLSI Architecture for Memetic Vector Quantizer Design

Chien-Min Ou, Wen-Jyi Hwang

چکیده

Memetic algorithms (MA) (Eiben & Smith, 2003; Molina, Lozano & Herrera, 2010; Moscato, 1999; Santos & Alves, 2010) have been found to be effective for evolutionary computation (Areibi, Moussa & Abdullah, 2001; Merz & Freisleben, 1999). It can be viewed as the hybrid genetic algorithms (GA) (Eiben & Smith, 2003) consisting of local refinement to genetic search results. Because the algorithms involve both the global and local searches, one challenging issue of the MAs is to reduce the computational complexity. One simple way to lower the computational time is to reduce the population size. Nevertheless, this approach is not favorable because small population size usually traps the MA in poor local optimum.

اسناد مشابه

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