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Optimal Control of Chemical Reactions with the Parallel Multi-memetic Algorithm

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Parallel Computational Technologies (PCT 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1263))

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Abstract

This paper deals with the parallel multi-memetic algorithm based on the Mind Evolutionary Computation (MEC) technique for solving optimal control problems of various chemical reactions. The article describes the algorithm outline along with its parallel software implementation, which was utilized to obtain the optimal control for two chemical reaction models. The first model describes the thermally-stimulated luminescence of polyarylenephthalides; the second one - the catalytic hydroalumination of olefins. Both processes are of significant practical importance. In this work, the optimal control problem was reduced to a non-linear high-dimensional global minimization problem and was solved with the proposed algorithm. The numerical experiment results are presented in the paper.

Irek Gubaydullin—This research was performed due to the Russian Science Foundation grant (project No. 19–71–00006) and RFBR according to the research projects No. 18–07–00341.

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Authors and Affiliations

  1. Bauman MSTU, Moscow, Russia

    Maxim Sakharov & Anatoly Karpenko

  2. Institute of Petrochemistry and Catalysis of RAS, Ufa, Russia

    Kamila Koledina & Irek Gubaydullin

  3. Ufa State Petroleum Technological University, Ufa, Russia

    Kamila Koledina & Irek Gubaydullin

Authors
  1. Maxim Sakharov
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  2. Kamila Koledina
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  3. Irek Gubaydullin
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  4. Anatoly Karpenko
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Corresponding author

Correspondence to Maxim Sakharov .

Editor information

Editors and Affiliations

  1. South Ural State University, Chelyabinsk, Russia

    Leonid Sokolinsky

  2. South Ural State University, Chelyabinsk, Russia

    Mikhail Zymbler

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Sakharov, M., Koledina, K., Gubaydullin, I., Karpenko, A. (2020). Optimal Control of Chemical Reactions with the Parallel Multi-memetic Algorithm. In: Sokolinsky, L., Zymbler, M. (eds) Parallel Computational Technologies. PCT 2020. Communications in Computer and Information Science, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-55326-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-55326-5_6

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  • Print ISBN: 978-3-030-55325-8

  • Online ISBN: 978-3-030-55326-5

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