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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. |