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Studying the Efficiency of Parallelization in Optimal Control of Multistage Chemical Reactions

Author

Listed:
  • Maxim Sakharov

    (CAD/CAE/PLM Department, Bauman Moscow State Technical University, 105005 Moscow, Russia)

  • Kamila Koledina

    (Institute of Petrochemistry and Catalysis of Russian Academy of Sciences, 450075 Ufa, Russia)

  • Irek Gubaydullin

    (Institute of Petrochemistry and Catalysis of Russian Academy of Sciences, 450075 Ufa, Russia)

  • Anatoly Karpenko

    (CAD/CAE/PLM Department, Bauman Moscow State Technical University, 105005 Moscow, Russia)

Abstract

In this paper, we investigate the problem of optimal control of complex multistage chemical reactions, which is considered a nonlinear global constrained optimization problem. This class of problems is computationally expensive due to the inclusion of multiple parameters and requires parallel computing systems and algorithms to obtain a solution within a reasonable time. However, the efficiency of parallel algorithms can differ depending on the architecture of the computing system. One available approach to deal with this is the development of specialized optimization algorithms that consider not only problem-specific features but also peculiarities of a computing system in which the algorithms are launched. In this work, we developed a novel parallel population algorithm based on the mind evolutionary computation method. This algorithm is designed for desktop girds and works in synchronous and asynchronous modes. The algorithm and its software implementation were used to solve the problem of the catalytic reforming of gasoline and to study the parallelization efficiency. Results of the numerical experiments are presented in this paper.

Suggested Citation

  • Maxim Sakharov & Kamila Koledina & Irek Gubaydullin & Anatoly Karpenko, 2022. "Studying the Efficiency of Parallelization in Optimal Control of Multistage Chemical Reactions," Mathematics, MDPI, vol. 10(19), pages 1-14, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3589-:d:931249
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    References listed on IDEAS

    as
    1. Rahimpour, Mohammad Reza & Jafari, Mitra & Iranshahi, Davood, 2013. "Progress in catalytic naphtha reforming process: A review," Applied Energy, Elsevier, vol. 109(C), pages 79-93.
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    Cited by:

    1. Sergey Koledin & Kamila Koledina & Irek Gubaydullin, 2023. "Multiobjective Optimization of a Metal Complex Catalytic Reaction Based on a Detailed Kinetic Model with Parallelization of Calculations," Mathematics, MDPI, vol. 11(9), pages 1-16, April.

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