Metaevolution with Analytic Programming

Komínková Oplatková, Zuzana; Šenkeřík, Roman

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