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Sibirskii Zhurnal Vychislitel'noi Matematiki
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Sibirskii Zhurnal Vychislitel'noi Matematiki, 2019, Volume 22, Number 2, Pages 137–151
DOI: https://doi.org/10.15372/SJNM20190202 (Mi sjvm706) 		 
This article is cited in 8 scientific papers (total in 8 papers)

Automated identification system of conditions for homogeneous and heterogeneous reactions in multipurpose optimization problems

K. F. Koledinaab, S. N. Koledina, I. M. Gubaydullinba

a Ufa State Petroleum Technological University, ul. Kosmonavtov 1, Ufa, 450062, Russia
b Institute of Petrochemistry and Catalysis, Russian Academy of Sciences, pr. Oktyabrya 141, Ufa, 450075 Russia
Full-text PDF (4013 kB) Citations (8)
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DOI: https://doi.org/10.15372/SJNM20190202
Abstract: An automated system for identifying the conditions of homogeneous and heterogeneous reactions includes mathematical modeling of a chemical reaction, determination of optimization criteria conditions for variable parameters, setting and multipurpose optimization problem solution and an optimal control problem, development of efficient algorithms for a computing experiment. Modeling and optimization of a homogeneous and heterogeneous catalytic reactions are carried out. Optimal conditions for carrying out reactions to achieve the specified criteria are determined.
Key words: automated system for identification conditions for carrying out homogeneous and heterogeneous reactions, kinetic model, multipurpose optimization, island model of parallelization, decomposition of automated system.
Funding agency Grant number
Russian Foundation for Basic Research 18-37-00015_мол_а
18-07-00341_а
Ministry of Education and Science of the Russian Federation СП-669.2018.5
This work was supported by the Russian Foundation for Basic Research, project nos. 18-37-00015 (Sections 4 and 6) and 18-07-00341, and by the RF Presidential Scholarship (project no. SP669.2018.5).
Received: 19.04.2018
Revised: 03.06.2018
Accepted: 21.01.2019
English version:
Numerical Analysis and Applications, 2019, Volume 12, Issue 2, Pages 116–125
DOI: https://doi.org/10.1134/S1995423919020022
Bibliographic databases:
Document Type: Article
UDC: 517.977.58, 004.9, 66.09
Language: Russian
Citation: K. F. Koledina, S. N. Koledin, I. M. Gubaydullin, “Automated identification system of conditions for homogeneous and heterogeneous reactions in multipurpose optimization problems”, Sib. Zh. Vychisl. Mat., 22:2 (2019), 137–151; Num. Anal. Appl., 12:2 (2019), 116–125
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/sjvm/v22/i2/p137
    • This publication is cited in the following 8 articles:
    1. Sergey Koledin, Kamila Koledina, Irek Gubaydullin, “Multiobjective Optimization of a Metal Complex Catalytic Reaction Based on a Detailed Kinetic Model with Parallelization of Calculations”, Mathematics, 11:9 (2023), 2051  crossref
    2. Kamila Koledina, Irek M. Gubaydullin, Sergey Koledin, Lecture Notes in Computer Science, 14388, Supercomputing, 2023, 140  crossref
    3. Koledina K.F., Gubaydullin I.M., Koledin S.N., “Multicriteria Optimization of the Catalytic Reaction For the Synthesis of Benzyl Butyl Ether Based on the Kinetic Model”, React. Kinet. Mech. Catal., 135:1 (2022), 155–167  crossref  isi  scopus
    4. K. F. Koledina, “Multi-criteria interval optimization of conditions for complex chemical reactions on the basis of a kinetic model”, Math. Models Comput. Simul., 15:2 (2023), 227–234  mathnet  crossref  crossref
    5. K. F. Koledina, I. M. Gubaydullin, S. N. Koledin, “Mathematical Modeling and Computational Aspects of Multi-Criteria Optimization of the Conditions of a Laboratory Catalytic Reaction”, Numer. Analys. Appl., 15:2 (2022), 104  crossref
    6. Kamila Koledina, Sergey Koledin, Irek Gubaydullin, Communications in Computer and Information Science, 1514, Advances in Optimization and Applications, 2021, 217  crossref
    7. Gubaydullin I., Koledina K., Koledin S., Zaynaullin R., “Catalytic Reforming Reactor Section Optimization Based on a Mathematical Model Accounting the Reaction Volume Changes”, 2019 15Th International Asian School-Seminar Optimization Problems of Complex Systems (Opcs 2019), IEEE, 2019, 58–62  isi
    8. Irek Gubaydullin, Kamila Koledina, Sergey Koledin, Ravil Zaynaullin, 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS), 2019, 58  crossref
    Citing articles in Google Scholar: Russian citations, English citations
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