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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 |