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On the impact of cognitive factor in PSO - Testing on selected functions from CEC 15 benchmark

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dc.title On the impact of cognitive factor in PSO - Testing on selected functions from CEC 15 benchmark en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.relation.ispartof AIP Conference Proceedings
dc.identifier.issn 0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-7354-1538-6
dc.date.issued 2017
utb.relation.volume 1863
dc.event.title International Conference of Numerical Analysis and Applied Mathematics 2016, ICNAAM 2016
dc.event.location Rhodes
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2016-09-19
dc.event.edate 2016-09-25
dc.type conferenceObject
dc.language.iso en
dc.publisher American Institute of Physics (AIP)
dc.identifier.doi 10.1063/1.4992261
dc.relation.uri http://aip.scitation.org/doi/abs/10.1063/1.4992261
dc.description.abstract In this study we investigate the effect of the cognitive factor setting on the performance of the PSO algorithm. The cognitive factor is one of the few control parameters of the original PSO algorithm that has direct effect on the trajectories of the particles. The IEEE CEC 2015 benchmark set is used to test the performance. © 2017 Author(s). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007293
utb.identifier.obdid 43877180
utb.identifier.scopus 2-s2.0-85026631319
utb.identifier.wok 000410159800111
utb.source d-scopus
dc.date.accessioned 2017-09-03T21:40:09Z
dc.date.available 2017-09-03T21:40:09Z
dc.description.sponsorship Grant Agency of the Czech Republic [GACR P103/15/06700S, NF-CZ07-ICP-4-345-2016]; Programme EEA [NF-CZ07-ICP-4-345-2016]; Norway Grants [NF-CZ07-ICP-4-345-2016]; 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]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2016/007]
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.fulltext.affiliation Michal Pluhacek a) , Roman Senkerik and Adam Viktorin Tomas Bata University in Zlín, Faculty of Applied Informatics nám. T.G. Masaryka 5555, 760 01 Zlín, CZECH REPUBLIC a) Corresponding author: pluhacek@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references 1. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, 1995, pp. 1942-1948. 2. Shi Y., Eberhart, R.: A modified particle swarm optimizer. In: IEEE World Congress on Computational Intelligence., 4-9 May 1998, pp. 69-73. 3. Kennedy, J., Eberhart, R.C., Shi, Y.: Swarm Intelligence. Morgan Kaufmann Publishers, (2001). 4. Nickabadi, A., Ebadzadeh, M.M., Safabakhsh, R.: A novel particle swarm optimization algorithm with adaptive inertia weight. Applied Soft Computing 11(4), 3658-3670 (2011). 5. van den Bergh F., Engelbrecht A.P., A study of particle swarm optimization particle trajectories, Information Sciences, Volume 176, Issue 8, 22 April 2006, pages 937-971, ISSN 0020-0255, 6. Chen, Q., et al. Problem Definitions and Evaluation Criteria for CEC 2015 Special Session on Bound Constrained Single-Objective Computationally Expensive Numerical Optimization.
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic GACR P103/15/06700S, by the Programme EEA and Norway Grants for funding via grant on Institutional cooperation project nr. NF-CZ07-ICP-4-345-2016, 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 Project no. IGA/CebiaTech/2016/007.
utb.scopus.affiliation Tomas Bata University in Zlín, Faculty of Applied Informatics, nám. T.G. Masaryka 5555, Zlín, Czech Republic
utb.fulltext.projects P103/15/06700S
utb.fulltext.projects NF-CZ07-ICP-4-345-2016
utb.fulltext.projects LO1303 (MSMT-7778/2014)
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.projects IGA/CebiaTech/2016/007
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