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ARPSO and fk-PSO on CEC 15 benchmark - Comparative study

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dc.title ARPSO and fk-PSO on CEC 15 benchmark - Comparative study en
dc.contributor.author Pluháček, Michal
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof AIP Conference Proceedings
dc.identifier.issn 0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9780735415386
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 10.1063/1.4992260
dc.relation.uri http://aip.scitation.org/doi/abs/10.1063/1.4992260
dc.description.abstract In this study we compare the performance of two popular variants of PSO algorithm the diversity guided PSO and heterogeneous PSO. The IEEE CEC 2015 benchmark set is used to test and compare the performance of the methods. The results are statistically evaluated and discussed. © 2017 Author(s). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007299
utb.identifier.obdid 43877184
utb.identifier.scopus 2-s2.0-85026635456
utb.identifier.wok 000410159800110
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]; Programme EEA and Norway [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 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 Kadavý, Tomáš
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Michal Pluhacek a) , Tomas Kadavy, Roman Senkerik 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. Yuhui, S., 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. Nepomuceno, F. V.; Engelbrecht, A. P. A self-adaptive heterogeneous pso for real-parameter optimization. In: Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE, 2013. p. 361-368. 6. Riget, J.; Vesterstrom, J. S. A diversity-guided particle swarm optimizer-the ARPSO. Dept. Comput. Sci., Univ. of Aarhus, Aarhus, Denmark, Tech. Rep, 2002, 2: 2002. 7. Liang JJ, Qu B-Y., Suganthan PN, Hernández-Díaz AG (2013) Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session and Competition on Real-Parameter Optimization, Technical Report 201212, Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore 8. 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
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