Lozi map generated initial population in analytical programming

Viktorin, Adam; Pluháček, Michal; Šenkeřík, Roman

dc.title	Lozi map generated initial population in analytical programming	en
dc.contributor.author	Viktorin, Adam
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Šenkeřík, Roman
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.identifier.issn	2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-319-33623-7
dc.identifier.isbn	978-3-319-33625-1
dc.date.issued	2016
utb.relation.volume	464
dc.citation.spage	297
dc.citation.epage	306
dc.event.title	5th Computer Science On-line Conference, CSOC 2016
dc.event.location	Prague
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2016-04-27
dc.event.edate	2016-04-30
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer Verlag
dc.identifier.doi	10.1007/978-3-319-33625-1_27
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-33625-1_27
dc.subject	Analytical programming	en
dc.subject	Lozi map	en
dc.subject	Pseudo-Random number Generator	en
dc.description.abstract	Analytical programming is a novel approach to symbolic regression independent on the used evolutionary algorithm. This research paper focuses on the usage of Lozi chaotic map based pseudo-random number generator for the generation of the initial population of the selected evolutionary algorithm. The researched benefit is the tendency to generate individuals which are mapped to more complex programs than that of individuals generated by classical pseudo-random number generator. The results show that there is a potential in replacing classical generator by the chaotic map based one in order to generate more complex programs. © Springer International Publishing Switzerland 2016.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006420
utb.identifier.obdid	43876074
utb.identifier.scopus	2-s2.0-84964761848
utb.identifier.wok	000385237600027
utb.source	d-scopus
dc.date.accessioned	2016-07-26T14:58:29Z
dc.date.available	2016-07-26T14:58:29Z
utb.identifier.utb-sysno	87691
utb.contributor.internalauthor	Viktorin, Adam
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Šenkeřík, Roman
utb.fulltext.affiliation	Adam Viktorin, Michal Pluhacek and Roman Senkerik A. Viktorin ( ✉ ) ⋅ M. Pluhacek ⋅ R. Senkerik Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01 Zlín, Czech Republic e-mail: [email protected] M. Pluhacek e-mail: [email protected] R. Senkerik e-mail: [email protected]
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by Grant Agency of the Czech Republic—GACR P103/15/06700S, further by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014. Also by the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089 and by Internal Grant Agency of Tomas Bata University under the Projects no. IGA/CebiaTech/2016/007.