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Using method of artificial intelligence to optimise and control chemical reactor

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dc.title Using method of artificial intelligence to optimise and control chemical reactor en
dc.contributor.author Dao, Tran Trong
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof MENDEL 2009
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-80-214-3884-2
dc.date.issued 2009
dc.citation.spage 29
dc.citation.epage 34
dc.event.title 15th International Conference on Soft Computing
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2009-06-24
dc.event.edate 2009-06-26
dc.type conferenceObject
dc.language.iso en
dc.publisher Vysoké učení technické v Brně cs
dc.subject Continuous-time model en
dc.subject Simulation en
dc.subject Optimization en
dc.subject Self-organizing migrating algorithm en
dc.description.abstract The application domain of chemical reactions and reactors constitutes one of the backbones for interdisciplinary collaboration. In fact, the optimization of industrial chemical processes has drawn attention in recent years. In this paper, we have used a new method of artificial intelligence, namely the evolutionary algorithm SOW (self-organizing migrating algorithm), for static optimization of a continuous stirred tank reactor (CSTR), for the purpose of improve its behavior in the uncontrolled state and predictive control. The optimizations and control of the reactor have been performed in several ways, each one for a different set of reactor parameters or different cost function. The optimized reactor was used in a simulation with prediction control by evolutionary algorithms and the results are presented in graphs. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001830
utb.identifier.rivid RIV/70883521:28140/09:43865765!RIV12-MSM-28140___
utb.identifier.obdid 43865781
utb.identifier.scopus 2-s2.0-84907937849
utb.identifier.wok 000273029500005
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:02Z
dc.date.available 2011-08-09T07:34:02Z
utb.contributor.internalauthor Dao, Tran Trong
utb.contributor.internalauthor Zelinka, Ivan
utb.fulltext.affiliation Tran Trong Dao a Ivan Zelinka Department of Applied Informatics, Tomas Bata University Nad Stráněmi 4511, Zlín 760 05, Czech Republic E-mail: {trantrongdao, zelinka}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by grant No. MSM 7088352101 of the Ministry of Education of the Czech Republic and by grants of the Grant Agency of the Czech Republic GACR 102/09/1680.
utb.fulltext.projects MSM 7088352101
utb.fulltext.projects GACR 102/09/1680
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Applied Informatics
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