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

  • Authors:
  • L. N. Korolev

  • Affiliations:
  • Moscow State University, Moscow, Russia

  • Venue:
  • Automation and Remote Control
  • Year:
  • 2007

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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.