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Investigation on evolutionary predictive control of chemical reactor

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dc.title Investigation on evolutionary predictive control of chemical reactor en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Davendra, Donald David
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.relation.ispartof Journal of Applied Logic
dc.identifier.issn 1570-8683 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.date.issued 2015
utb.relation.volume 13
utb.relation.issue 2
dc.citation.spage 156
dc.citation.epage 166
dc.type article
dc.language.iso en
dc.publisher Elsevier Science B.V.
dc.identifier.doi 10.1016/j.jal.2014.11.009
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S1570868314000834
dc.subject SOMA en
dc.subject Self-organization en
dc.subject Evolutionary algorithms en
dc.subject Global optimization en
dc.subject Non-linear optimization en
dc.subject Mixed discrete variables en
dc.subject Penalty function en
dc.description.abstract This paper discusses predictive control of chemical reactor by means of evolutionary algorithm named SOMA - the Self-Organizing Migrating Algorithm, that can be classified as swarm intelligence or memetic algorithm. The SOMA algorithm was used for multiple input-multiple output control of reactor model after static optimization. The MIMO control was defined for 5 inputs and 2 outputs with total number of 12 unknown variables. This paper is based on simulation results from optimization of static parameters that has been used to set up reactor for its evolutionary control. (C) 2014 Elsevier B.V. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004287
utb.identifier.obdid 43874665
utb.identifier.scopus 2-s2.0-84922879075
utb.identifier.wok 000350924200008
utb.source j-wok
dc.date.accessioned 2015-05-22T08:01:44Z
dc.date.available 2015-05-22T08:01:44Z
dc.description.sponsorship Grant Agency of the Czech Republic [GACR P103/13/08195S]; Operational Programme Education for Competitiveness [CZ.1.07/2.3.00/20.0072]; ESF; State Budget of the Czech Republic; Grant of SGS, VSB - Technical University of Ostrava [SP2014/159]; Internal Grant Agency of Tomas Bata University [IGA/FAI/2014/010]
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
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