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Avtomatika i Telemekhanika, 2008, Issue 7, Pages 146–156 (Mi at694)  
This article is cited in 2 scientific papers (total in 2 papers)

Technical Diagnostics

Genetic algorithms to reduce diagnostic information

S. V. Mironov, D. V. Speranskii

Saratov State University
Full-text PDF (207 kB) Citations (2)
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Abstract: A new genetic algorithm-based approach to the problem of reducing the diagnostic information acquired by testing discrete devices was proposed. Consideration was given to minimization and optimization of the diagnostic information for which the corresponding fitness functions and chromosome structures used in the genetic algorithms were suggested. Statistical data corroborating efficiency of the developed genetic algorithms for the problems under consideration were presented.
Presented by the member of Editorial Board: P. P. Parkhomenko

Received: 28.02.2007
English version:
Automation and Remote Control, 2008, Volume 69, Issue 7, Pages 1231–1240
DOI: https://doi.org/10.1134/S000511790807014X
Bibliographic databases:
Document Type: Article
PACS: 07.05.Tp, 85.40.Bh
Language: Russian
Citation: S. V. Mironov, D. V. Speranskii, “Genetic algorithms to reduce diagnostic information”, Avtomat. i Telemekh., 2008, no. 7, 146–156; Autom. Remote Control, 69:7 (2008), 1231–1240
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/at/y2008/i7/p146
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    Full-text PDF :131
    References:40
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