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Application of Object-Oriented Simulation in Evolutionary Algorithms

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Book cover Automation Control Theory Perspectives in Intelligent Systems (CSOC 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 466))

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Abstract

In paper two-level genetic and ant algorithms are proposed to optimize the functioning of the automated technological machining complex. For suggested genetic and unt algorithms it is designed the object-oriented simulation model, which allows to calculate the fitness function and evaluate potential solutions. The problem-oriented crossover, mutation and reproduction operators for two-level genetic algorithm are developed. The transition and calculation of the concentration for synthetic pheromone rules are determined for suggested ant algorithms.

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References

  1. Skobtsov, Y.A., Speransky, D.V.: Evolutionary computation: hand book. The National Open University “INTUIT”, Moscow (2015).(in Russian)

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  3. Skobtsov, Yu.A., Skobtsov, V.Yu.: Evolutionary test generation methods for digital devices. In: Adamski. M., et al. (eds.) Design of Digital Systems and Devices. LNEE., vol. 79, pp.331–361. Springer, Heidelberg (2011)

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  4. Chengar, O.V.: Development of the “directed” ant algorithm to optimize production schedules. Bull. Kherson Nat. Tech. Univ. 1(46), 212–217 (2013). (in Russian)

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Acknowledgments

The research is supported by the Russian Science Foundation (project № 16-19-00199).

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Yuriy Skobtsov

  2. Donetsk National Technical University, Donetsk, Ukraine

    Alexander Sekirin & Svetlana Zemlyanskaya

  3. United Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Belarus

    Olga Chengar & Vadim Skobtsov

  4. St. Petersburg Institute of Informatics and Automation, Russian Academy of Sciences (SPIIRAS), St. Petersburg, Russia

    Semyon Potryasaev

  5. St. Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO), St. Petersburg, Russia

    Semyon Potryasaev

Authors
  1. Yuriy Skobtsov
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  2. Alexander Sekirin
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  3. Svetlana Zemlyanskaya
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  4. Olga Chengar
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  5. Vadim Skobtsov
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  6. Semyon Potryasaev
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Corresponding author

Correspondence to Vadim Skobtsov .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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© 2016 Springer International Publishing Switzerland

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Skobtsov, Y., Sekirin, A., Zemlyanskaya, S., Chengar, O., Skobtsov, V., Potryasaev, S. (2016). Application of Object-Oriented Simulation in Evolutionary Algorithms. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Silhavy, P., Prokopova, Z. (eds) Automation Control Theory Perspectives in Intelligent Systems. CSOC 2016. Advances in Intelligent Systems and Computing, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-33389-2_43

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  • DOI: https://doi.org/10.1007/978-3-319-33389-2_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33387-8

  • Online ISBN: 978-3-319-33389-2

  • eBook Packages: EngineeringEngineering (R0)

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