Modified progressive random walk with chaotic PRNG

Viktorin, Adam; Šenkeřík, Roman; Pluháček, Michal; Kadavý, Tomáš

dc.title	Modified progressive random walk with chaotic PRNG	en
dc.contributor.author	Viktorin, Adam
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Kadavý, Tomáš
dc.relation.ispartof	International Journal of Parallel, Emergent and Distributed Systems
dc.identifier.issn	1744-5760 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2018
utb.relation.volume	33
utb.relation.issue	5
dc.citation.spage	450
dc.citation.epage	459
dc.type	article
dc.language.iso	en
dc.publisher	Taylor and Francis
dc.identifier.doi	10.1080/17445760.2017.1365864
dc.relation.uri	https://www.tandfonline.com/doi/abs/10.1080/17445760.2017.1365864?journalCode=gpaa20
dc.subject	chaos	en
dc.subject	fitness landscape analysis	en
dc.subject	Random walk	en
dc.subject	ruggedness	en
dc.description.abstract	In this paper, two modifications are proposed to the Progressive Random Walk (PRW) algorithm in order to address its potentially insufficient search space coverage. The first modification replaces the Pseudo-Random Number Generator (PRNG) with the uniform distribution by the chaotic map based PRNG for generating of the offset values and the second modification is called direction switching and is based on experiment observation. The modifications are implemented into the PRW and the resulting algorithm is called modified Progressive Random Walk. The search space coverage of the two algorithms is compared. Both algorithms are used in macro ruggedness estimation of the CEC2015 benchmark set and the results are discussed. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1008096
utb.identifier.obdid	43877044
utb.identifier.scopus	2-s2.0-85027878570
utb.identifier.wok	000438453400002
utb.source	j-scopus
dc.date.accessioned	2018-08-03T12:49:40Z
dc.date.available	2018-08-03T12:49:40Z
dc.description.sponsorship	CZ.1.05/2.1.00/03.0089, FEDER, European Regional Development Fund; IGA/CebiaTech/2017/004; MSMT-7778/2014, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy; LO1303, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy; P103/15/06700S
dc.description.sponsorship	Grant Agency of the Czech Republic - GACR [P103/15/06700S]; Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund - CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2017/004]
utb.contributor.internalauthor	Viktorin, Adam
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Kadavý, Tomáš
utb.fulltext.affiliation	Adam Viktorin, Roman Senkerik, Michal Pluhacek and Tomas Kadavy Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic CONTACT Adam Viktorin [email protected]
utb.fulltext.dates	Received 30 April 2017 Accepted 7 August 2017
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utb.fulltext.sponsorship	This work was supported by Grant Agency of the Czech Republic - GACR [grant number P103/15/06700S]; the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [grant number LO1303 (MSMT-7778/2014)]; the European Regional Development Fund - CEBIA-Tech [grant number CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [grant number IGA/CebiaTech/2017/004].
utb.scopus.affiliation	Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic
utb.fulltext.projects	GACR/P103/15/06700S
utb.fulltext.projects	LO1303 (MSMT-7778/2014)
utb.fulltext.projects	CZ.1.05/2.1.00/03.0089
utb.fulltext.projects	IGA/CebiaTech/2017/004