This article is cited in 1 paper

On evolutionary algorithms, neural-network computations, and genetic programming. Mathematical problems

L. N. Korolev

M. V. Lomonosov Moscow State University

Abstract: Some problems related to evolutionary and genetic algorithms, genetic programming, and neural-network computations on solving applied problems that are reduced to analysis of functions prescribed at permutations are roughly studied. Natural parallelism of these algorithms and possibility of their realization on modern computers are noted.

PACS: 02.60.Pn

Presented by the member of Editorial Board: A. I. Kibzun

Received: 18.12.2006

 English version: Automation and Remote Control, 2007, 68:5, 811–821

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