Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Electromagnetism-Like Algorithm and Harmony Search for Chemical Kinetics Problem. / Shvareva, E. N.; Enikeeva, L. V.
Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys. ed. / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2022. p. 239-249 (Lecture Notes in Networks and Systems; Vol. 295).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Electromagnetism-Like Algorithm and Harmony Search for Chemical Kinetics Problem
AU - Shvareva, E. N.
AU - Enikeeva, L. V.
N1 - Funding Information: The reported study was funded by RFBR, project number 19-37-60014. Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Mathematical optimization is a branch of applied mathematics which is useful in many different fields. Metaheuristics make it possible to solve intractable optimization problems. Electromagnetism-like algorithm and harmony search are metaheuristic optimization algorithms. A model has been developed, and direct and inverse problems of chemical kinetics have been solved for such an industrially important catalytic process as the pre-reforming of hydrocarbons into a synthesis gas with a high methane content. To determine the reaction rate constants and activation energies, relatively young metaheuristic optimization algorithms were used: the electromagnetic algorithm and the harmony search algorithm. These heuristic algorithms for solving this problem of chemical kinetics were developed and compared with each other. The conclusion is made about which algorithm is most suitable for the problem under consideration. Previously, these algorithms were tested on benchmark functions, the optimum of which is known in advance. The obtained coefficients were verified when running the direct problem and the results were compared with experimental data.
AB - Mathematical optimization is a branch of applied mathematics which is useful in many different fields. Metaheuristics make it possible to solve intractable optimization problems. Electromagnetism-like algorithm and harmony search are metaheuristic optimization algorithms. A model has been developed, and direct and inverse problems of chemical kinetics have been solved for such an industrially important catalytic process as the pre-reforming of hydrocarbons into a synthesis gas with a high methane content. To determine the reaction rate constants and activation energies, relatively young metaheuristic optimization algorithms were used: the electromagnetic algorithm and the harmony search algorithm. These heuristic algorithms for solving this problem of chemical kinetics were developed and compared with each other. The conclusion is made about which algorithm is most suitable for the problem under consideration. Previously, these algorithms were tested on benchmark functions, the optimum of which is known in advance. The obtained coefficients were verified when running the direct problem and the results were compared with experimental data.
KW - Chemical kinetics
KW - Electromagnetism-like algorithm
KW - Harmony search
KW - Metaheuristic algorithms
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85113430614&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/51a83071-83c9-369f-8008-3510e0b7e673/
U2 - 10.1007/978-3-030-82196-8_18
DO - 10.1007/978-3-030-82196-8_18
M3 - Conference contribution
AN - SCOPUS:85113430614
SN - 9783030821951
T3 - Lecture Notes in Networks and Systems
SP - 239
EP - 249
BT - Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - Intelligent Systems Conference, IntelliSys 2021
Y2 - 2 September 2021 through 3 September 2021
ER -
ID: 34127433