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Performance Investigation of Mind Evolutionary Computation Algorithm and Some of Its Modifications

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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 450))

Abstract

Three new modifications of Mind Evolutionary Computation (MEC) algorithm were proposed in this paper. They are based on the concepts of co-evolution and memetic algorithms; modular software implementation of the specified methods was also presented. Paper contains results of performance investigation of the algorithms and their software implementation that was carried out using 8D benchmark functions of various classes. The influence of the free parameters’ values on the performance of proposed algorithm was also studied; recommendations on the selection of those parameters’ values were given based on the obtained results.

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Authors and Affiliations

  1. Bauman MSTU, Moscow, Russia

    Maxim Sakharov & Anatoly Karpenko

Authors
  1. Maxim Sakharov
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  2. Anatoly Karpenko
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Corresponding author

Correspondence to Maxim Sakharov .

Editor information

Editors and Affiliations

  1. Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. Institute of Mathematics, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Václav Snášel

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Sakharov, M., Karpenko, A. (2016). Performance Investigation of Mind Evolutionary Computation Algorithm and Some of Its Modifications. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-33609-1_43

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  • DOI: https://doi.org/10.1007/978-3-319-33609-1_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33608-4

  • Online ISBN: 978-3-319-33609-1

  • eBook Packages: EngineeringEngineering (R0)

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