A time performance comparison of particle swarm optimization in mobile devices

Beltrán-Prieto, Juan Carlos; Komínková Oplatková, Zuzana; Torres Friás, Rubén; Escoto Hernández, Juan Luis

dc.title	A time performance comparison of particle swarm optimization in mobile devices	en
dc.contributor.author	Beltrán-Prieto, Juan Carlos
dc.contributor.author	Komínková Oplatková, Zuzana
dc.contributor.author	Torres Friás, Rubén
dc.contributor.author	Escoto Hernández, Juan Luis
dc.relation.ispartof	MATEC Web of Conferences 20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
dc.identifier.issn	2261-236X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2016
utb.relation.volume	76
dc.event.title	20th International Conference on Circuits, Systems, Communications and Computers (CSCC)
dc.event.location	Corfu
utb.event.state-en	Greece
utb.event.state-cs	Řecko
dc.event.sdate	2016-07-14
dc.event.edate	2016-07-17
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	EDP Sciences
dc.identifier.doi	10.1051/matecconf/20167604029
dc.relation.uri	https://www.matec-conferences.org/articles/matecconf/abs/2016/39/matecconf_cscc2016_04029/matecconf_cscc2016_04029.html
dc.description.abstract	This paper deals with the comparison of three implementations of Particle Swarm Optimization (PSO), which is a powerful algorithm utilized for optimization purposes. Xamarin, a cross-platform development software, was used to build a single C# application capable of being executed on three different mobile operating systems (OS) devices, namely Android, iOS, and Windows Mobile 10, with native level performance. Seven thousand tests comprising PSO evaluations of seven benchmark functions were carried out per mobile OS. A statistical evaluation of time performance of the test set running on three similar devices each running a different mobile OS is presented and discussed. Our findings show that PSO running on Windows Mobile 10 and iOS devices have a better performance in computation time than in Android.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1007007
utb.identifier.scopus	2-s2.0-85016093930
utb.identifier.wok	000392332200106
utb.source	d-wok
dc.date.accessioned	2017-07-25T08:54:38Z
dc.date.available	2017-07-25T08:54:38Z
dc.description.sponsorship	Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Grant Agency of the Czech Republic-GACR [588 P103/15/06700S]; Internal Grant Agency of Tomas Bata University in Zlin [IGA/CebiaTech/2016/007]
dc.rights	Attribution 4.0 International
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.rights.access	openAccess
utb.contributor.internalauthor	Beltrán-Prieto, Juan Carlos
utb.contributor.internalauthor	Komínková Oplatková, Zuzana
utb.fulltext.affiliation	Luis Antonio Beltrán Prieto 1,a , Zuzana Komínkova-Oplatková 1 , Rubén Torres Frías 2 and Juan Luis Escoto Hernández 2 1 Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlín, Nad Stráněmi 4511,76005 Zlín, Czech Republic 2 Department of Systems and Computing, Technological Institute of Celaya, Av. Tecnológico y A. García Cubas S/N, 38010, Celaya, México a Corresponding author: beltran_prieto@fai.utb.cz
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, further it was supported by Grant Agency of the Czech Republic—GACR 588 P103/15/06700S and by Internal Grant Agency of Tomas Bata University in Zlin under the project No. IGA/CebiaTech/2016/007.