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Lozi map generated initial population in analytical programming

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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: aviktorin@fai.utb.cz M. Pluhacek e-mail: pluhacek@fai.utb.cz R. Senkerik e-mail: senkerik@fai.utb.cz
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.
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