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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 |