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Optimization of the configuration of manufacturing systems

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Abstract

Software for optimizing the configuration of manufacturing systems so as to reduce expenditures in all stages of the product life cycle is considered. Mathematical expressions are given for the three crossover operators used in the genetic optimization algorithm. A computational experiment indicates the most effective crossover operator.

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Authors and Affiliations

  1. Orenburg State University, Orenburg, Russia

    A. I. Sergeev, A. I. Serdyuk, V. B. Kuznetsova & D. V. Kondusov

Authors
  1. A. I. Sergeev
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  2. A. I. Serdyuk
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  3. V. B. Kuznetsova
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  4. D. V. Kondusov
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Corresponding author

Correspondence to A. I. Sergeev.

Additional information

Original Russian Text © A.I. Sergeev, A.I. Serdyuk, V.B. Kuznetsova, D.V. Kondusov, 2017, published in STIN, 2017, No. 6, pp. 10–13.

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Sergeev, A.I., Serdyuk, A.I., Kuznetsova, V.B. et al. Optimization of the configuration of manufacturing systems. Russ. Engin. Res. 37, 983–986 (2017). https://doi.org/10.3103/S1068798X17110132

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  • DOI: https://doi.org/10.3103/S1068798X17110132

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