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Evolutionary algorithms applied to a shielding enclosure design

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dc.title Evolutionary algorithms applied to a shielding enclosure design en
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Kovář, Stanislav
dc.contributor.author Pluháček, Michal
dc.contributor.author Viktorin, Adam
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartof Artificial Intelligence And Soft Computing, ICAISC 2019, Pt II
dc.identifier.issn 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783030209117
dc.date.issued 2019
utb.relation.volume 11508 LNAI
dc.citation.spage 445
dc.citation.epage 455
dc.event.title 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019
dc.event.location Zakopane
utb.event.state-en Poland
utb.event.state-cs Polsko
dc.event.sdate 2019-06-16
dc.event.edate 2019-06-20
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-030-20912-4_41
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-20912-4_41
dc.subject Shielding effectiveness en
dc.subject Shielding enclosure en
dc.subject SHADE en
dc.subject HCLPSO en
dc.subject FA en
dc.subject CST Microwave Studio en
dc.description.abstract Currently, electromagnetic compatibility presents a severe problem for electric and electronic devices; therefore, the demand for protection has rapidly increased in recent years. Unfortunately, the design of a high-quality shield can involve different pitfalls, and it is impossible to explore and test every possible solution. Many times, the model of an existing structure form different scientific areas have been successfully redesigned using knowledge and techniques adopted from the field of artificial intelligence. The soft computing based approach has been verified here, and selected real case study is presented in this paper. © 2019, Springer Nature Switzerland AG. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008818
utb.identifier.obdid 43880008
utb.identifier.scopus 2-s2.0-85066741760
utb.identifier.wok 000485150200041
utb.source d-scopus
dc.date.accessioned 2019-08-13T10:17:23Z
dc.date.available 2019-08-13T10:17:23Z
dc.description.sponsorship Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2019/002]; COST (European Cooperation in Science & Technology) under Action, Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) [CA15140]; COST (European Cooperation in Science & Technology) under Action, High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) [IC1406]
utb.contributor.internalauthor Kadavý, Tomáš
utb.contributor.internalauthor Kovář, Stanislav
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Šenkeřík, Roman
utb.wos.affiliation [Kadavy, Tomas; Kovar, Stanislav; Pluhacek, Michal; Viktorin, Adam; Senkerik, Roman] Tomas Bata Univ Zlin, TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Tomas Bata University in Zlin, T.G.Masaryka 5555, Zlin, 760 01, Czech Republic
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