Optimization of wheel suspension geometry using a genetic algorithm

dc.contributor.authorRágulík, J.
dc.contributor.authorSivčák, M.
dc.contributor.editorAdámek, Vítězslav
dc.contributor.editorJonášová, Alena
dc.contributor.editorPlánička, Stanislav
dc.date.accessioned2023-12-09T10:35:09Z
dc.date.available2023-12-09T10:35:09Z
dc.date.issued2023
dc.description.sponsorshipThis publication was written at the Technical University of Liberec as part of the project "Research of advanced materials, and application of machine learning in the area of control and modelling of mechanical systems" nr. SGS-2022-5072 with the support of the Specific University Research Grant, as provided by the Ministry of Education, Youth and Sports of the Czech Republic in the year 2022.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationComputational mechanics 2023: book of extended abstracts: 38th conference with international participation, p. 170-173.en
dc.identifier.isbn978-80-261-1177-1
dc.identifier.urihttp://hdl.handle.net/11025/54954
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.rights© 2023 University of West Bohemia, Plzeň, Czech Republicen
dc.rights.accessopenAccessen
dc.subjectgenetický algoritmuscs
dc.subjectgeometrie zavěšení kolcs
dc.subjecthluboké posílení učenícs
dc.subject.translatedgenetic algorithmen
dc.subject.translatedwheel suspension geometryen
dc.subject.translateddeep reinforcement learningen
dc.titleOptimization of wheel suspension geometry using a genetic algorithmen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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