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DC poleHodnotaJazyk
dc.contributor.authorMach, František
dc.contributor.authorKarban, Pavel
dc.contributor.authorDoležel, Ivo
dc.date.accessioned2017-03-30T05:47:27Z
dc.date.available2017-03-30T05:47:27Z
dc.date.issued2015
dc.identifier.citationCPEE – AMTEE 2015: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 6th – 8th September 2015 Třebíč, Czech Republic, p. III-1.en
dc.identifier.isbn978-80-261-0527-5
dc.identifier.urihttp://cpee.zcu.cz/AMTEE/ArchivedProceedings.aspx
dc.identifier.urihttp://hdl.handle.net/11025/25738
dc.format1 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.relation.ispartofseriesCPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineeringen
dc.rights© University of West Bohemiaen
dc.subjectgenetický algoritmuscs
dc.subjectomezená optimalizacecs
dc.subjectoptimalizace tvarucs
dc.titleGenetic algorithm with prediction of unsuitable variants based on existing solutionsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedA modified genetic algorithm is proposed for optimization of the systems of mathematical models described by partial differential equations. This algorithm makes use of automatic prediction of problematic variants from technical and also numerical viewpoints. The algorithm is implemented in the framework OptiLab that represents a part of application Agros2D developed by the authors.en
dc.subject.translatedgenetic algorithmen
dc.subject.translatedconstrained optimizationen
dc.subject.translatedshape optimizationen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:CPEE – AMTEE 2015

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