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Ant colony optimization algorithms for digital device diagnostics

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Abstract

This paper investigates the possibility of solving two problems of digital device diagnostics by means of ant colony optimization. It is shown how these problems can be reduced to the classical traveling salesman and set covering problems which are efficiently solved by ant colony optimization algorithms.

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Authors and Affiliations

  1. Moscow State University of Railway Engineering, ul. Chasovaya 22/2, Moscow, 125993, Russia

    D. V. Speranskii

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  1. D. V. Speranskii
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Correspondence to D. V. Speranskii.

Additional information

Original Russian Text © D.V. Speranskii, 2015, published in Avtomatika i Vychislitel’naya Tekhnika, 2015, No. 2, pp. 25–33.

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Speranskii, D.V. Ant colony optimization algorithms for digital device diagnostics. Aut. Control Comp. Sci. 49, 82–87 (2015). https://doi.org/10.3103/S0146411615020078

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  • DOI: https://doi.org/10.3103/S0146411615020078

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