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

Pluháček, Michal; Kadavý, Tomáš; Šenkeřík, Roman

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	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	10.1063/1.4992260
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: [email protected]
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