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Metaevolution with Analytic Programming

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dc.title Metaevolution with Analytic Programming en
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Computer Software and Hardware Applications
dc.identifier.isbn 978-80-904741-2-3
dc.date.issued 2012
dc.event.location Vsetín
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.type bookPart
dc.language.iso en
dc.publisher Šilhavý s. r. o.
dc.subject Metaevolution en
dc.subject evolutionary techniques en
dc.subject symbolic regression en
dc.subject SOMA en
dc.subject differential evolution en
dc.subject deterministic chaos en
dc.description.abstract The chapter will explain the differences in the approach of the metaevolution. Metaevolution as well as evolution and symbolic regression are methods of artificial intelligence. The paper will discuss evolutionary techniques for optimization, symbolic regression methods for the task of approximation, fitting and similar tasks. The core will be the discussion what metaevolution is and how it is used in different approaches. Last part of the paper will present applications and their results from the mentioned fields. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005958
utb.identifier.rivid RIV/70883521:28140/12:43868931!RIV13-MSM-28140___
utb.identifier.obdid 43869144
utb.source c-riv
dc.date.accessioned 2016-04-28T10:37:27Z
dc.date.available 2016-04-28T10:37:27Z
dc.description.sponsorship P(ED2.1.00/03.0089)
dc.format.extent 120
utb.identifier.nkp 5618251
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.contributor.internalauthor Šenkeřík, Roman
riv.obor JD
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