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 -