Parallel memetic algorithm for optimal control of multi-stage catalytic reactions
Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sakharov, Maxim [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Optimization letters - Springer Berlin Heidelberg, 2007, 17(2023), 4 vom: 31. Jan., Seite 981-1003 |
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| Übergeordnetes Werk: |
volume:17 ; year:2023 ; number:4 ; day:31 ; month:01 ; pages:981-1003 |
| Links: |
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| DOI / URN: |
10.1007/s11590-023-01971-4 |
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OLC2134415762 |
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| 520 | |a Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. | ||
| 650 | 4 | |a Global optimization | |
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| 650 | 4 | |a Memetic algorithms | |
| 650 | 4 | |a Catalytic reactions | |
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| 700 | 1 | |a Gubaydullin, Irek |4 aut | |
| 700 | 1 | |a Karpenko, Anatoly |4 aut | |
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10.1007/s11590-023-01971-4 doi (DE-627)OLC2134415762 (DE-He213)s11590-023-01971-4-p DE-627 ger DE-627 rakwb eng 510 VZ 510 VZ Sakharov, Maxim verfasserin (orcid)0000-0002-1527-7112 aut Parallel memetic algorithm for optimal control of multi-stage catalytic reactions 2023 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. Global optimization Parallel algorithms Memetic algorithms Catalytic reactions Koledina, Kamila aut Gubaydullin, Irek aut Karpenko, Anatoly aut Enthalten in Optimization letters Springer Berlin Heidelberg, 2007 17(2023), 4 vom: 31. Jan., Seite 981-1003 (DE-627)527562920 (DE-600)2274663-8 (DE-576)272713724 1862-4472 nnns volume:17 year:2023 number:4 day:31 month:01 pages:981-1003 https://doi.org/10.1007/s11590-023-01971-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_267 GBV_ILN_2018 AR 17 2023 4 31 01 981-1003 |
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10.1007/s11590-023-01971-4 doi (DE-627)OLC2134415762 (DE-He213)s11590-023-01971-4-p DE-627 ger DE-627 rakwb eng 510 VZ 510 VZ Sakharov, Maxim verfasserin (orcid)0000-0002-1527-7112 aut Parallel memetic algorithm for optimal control of multi-stage catalytic reactions 2023 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. Global optimization Parallel algorithms Memetic algorithms Catalytic reactions Koledina, Kamila aut Gubaydullin, Irek aut Karpenko, Anatoly aut Enthalten in Optimization letters Springer Berlin Heidelberg, 2007 17(2023), 4 vom: 31. Jan., Seite 981-1003 (DE-627)527562920 (DE-600)2274663-8 (DE-576)272713724 1862-4472 nnns volume:17 year:2023 number:4 day:31 month:01 pages:981-1003 https://doi.org/10.1007/s11590-023-01971-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_267 GBV_ILN_2018 AR 17 2023 4 31 01 981-1003 |
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10.1007/s11590-023-01971-4 doi (DE-627)OLC2134415762 (DE-He213)s11590-023-01971-4-p DE-627 ger DE-627 rakwb eng 510 VZ 510 VZ Sakharov, Maxim verfasserin (orcid)0000-0002-1527-7112 aut Parallel memetic algorithm for optimal control of multi-stage catalytic reactions 2023 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. Global optimization Parallel algorithms Memetic algorithms Catalytic reactions Koledina, Kamila aut Gubaydullin, Irek aut Karpenko, Anatoly aut Enthalten in Optimization letters Springer Berlin Heidelberg, 2007 17(2023), 4 vom: 31. Jan., Seite 981-1003 (DE-627)527562920 (DE-600)2274663-8 (DE-576)272713724 1862-4472 nnns volume:17 year:2023 number:4 day:31 month:01 pages:981-1003 https://doi.org/10.1007/s11590-023-01971-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_267 GBV_ILN_2018 AR 17 2023 4 31 01 981-1003 |
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10.1007/s11590-023-01971-4 doi (DE-627)OLC2134415762 (DE-He213)s11590-023-01971-4-p DE-627 ger DE-627 rakwb eng 510 VZ 510 VZ Sakharov, Maxim verfasserin (orcid)0000-0002-1527-7112 aut Parallel memetic algorithm for optimal control of multi-stage catalytic reactions 2023 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. Global optimization Parallel algorithms Memetic algorithms Catalytic reactions Koledina, Kamila aut Gubaydullin, Irek aut Karpenko, Anatoly aut Enthalten in Optimization letters Springer Berlin Heidelberg, 2007 17(2023), 4 vom: 31. Jan., Seite 981-1003 (DE-627)527562920 (DE-600)2274663-8 (DE-576)272713724 1862-4472 nnns volume:17 year:2023 number:4 day:31 month:01 pages:981-1003 https://doi.org/10.1007/s11590-023-01971-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_267 GBV_ILN_2018 AR 17 2023 4 31 01 981-1003 |
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10.1007/s11590-023-01971-4 doi (DE-627)OLC2134415762 (DE-He213)s11590-023-01971-4-p DE-627 ger DE-627 rakwb eng 510 VZ 510 VZ Sakharov, Maxim verfasserin (orcid)0000-0002-1527-7112 aut Parallel memetic algorithm for optimal control of multi-stage catalytic reactions 2023 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. Global optimization Parallel algorithms Memetic algorithms Catalytic reactions Koledina, Kamila aut Gubaydullin, Irek aut Karpenko, Anatoly aut Enthalten in Optimization letters Springer Berlin Heidelberg, 2007 17(2023), 4 vom: 31. Jan., Seite 981-1003 (DE-627)527562920 (DE-600)2274663-8 (DE-576)272713724 1862-4472 nnns volume:17 year:2023 number:4 day:31 month:01 pages:981-1003 https://doi.org/10.1007/s11590-023-01971-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_267 GBV_ILN_2018 AR 17 2023 4 31 01 981-1003 |
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Parallel memetic algorithm for optimal control of multi-stage catalytic reactions |
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Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control variables, such as temperature or time. Without taking those restrictions into account, the obtained optimal control sometimes can be useless as it would not be possible to implement such a control strategy in practice. In this work we propose a novel parallel memetic algorithm that allows obtaining feasible control strategies by monitoring the restrictions on control variables. The proposed algorithm and its software implementation were utilized to find feasible controls for several industrial chemical processes including the synthesis of the benzyl butyl ether, the hydroalumination of olefins with diisobutylaluminium hydride, and the catalytic reforming of gasoline. In addition, the obtained results were compared with the ones obtained by several other methods. The paper presents the results of conducted numerical experiments and the obtained controls for the specified chemical reactions. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| title_short |
Parallel memetic algorithm for optimal control of multi-stage catalytic reactions |
| url |
https://doi.org/10.1007/s11590-023-01971-4 |
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false |
| author2 |
Koledina, Kamila Gubaydullin, Irek Karpenko, Anatoly |
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Koledina, Kamila Gubaydullin, Irek Karpenko, Anatoly |
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| doi_str |
10.1007/s11590-023-01971-4 |
| up_date |
2024-07-04T01:02:58.875Z |
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7.397811 |