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PSO with partial population restart based on complex network analysis
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| dc.title | PSO with partial population restart based on complex network analysis | en |
| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Viktorin, Adam | |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.contributor.author | Kadavý, Tomáš | |
| dc.contributor.author | Zelinka, Ivan | |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
| dc.identifier.issn | 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR | |
| dc.identifier.isbn | 978-3-319-59650-1 | |
| dc.identifier.isbn | 978-3-319-59649-5 | |
| dc.date.issued | 2017 | |
| utb.relation.volume | 10334 LNCS | |
| dc.citation.spage | 183 | |
| dc.citation.epage | 192 | |
| dc.event.title | 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017 | |
| dc.event.location | Logroño (La Rioja) | |
| utb.event.state-en | Spain | |
| utb.event.state-cs | Španělsko | |
| dc.event.sdate | 2017-06-21 | |
| dc.event.edate | 2017-06-23 | |
| dc.type | conferenceObject | |
| dc.language.iso | en | |
| dc.publisher | Springer Verlag | |
| dc.identifier.doi | 10.1007/978-3-319-59650-1_16 | |
| dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-319-59650-1_16 | |
| dc.subject | Complex Network | en |
| dc.subject | Hybrid method | en |
| dc.subject | Particle Swarm Optimization | en |
| dc.subject | Swarm intelligence | en |
| dc.description.abstract | This study presents a hybridization of Particle Swarm Optimization with a complex network creation and analysis. A partial population is performed in certain moments of the run of the algorithm based on the information obtained from a complex network structure that represents the communication in the population. We present initial results alongside statistical evaluation and discuss future possibilities of this approach. © Springer International Publishing AG 2017. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1007264 | |
| utb.identifier.obdid | 43877144 | |
| utb.identifier.scopus | 2-s2.0-85021761713 | |
| utb.identifier.wok | 000432880600016 | |
| utb.source | d-scopus | |
| dc.date.accessioned | 2017-09-03T21:40:07Z | |
| dc.date.available | 2017-09-03T21:40:07Z | |
| dc.description.sponsorship | P103/15/06700S, GACR;GAČR, Grantová Agentura České Republiky | |
| dc.description.sponsorship | Grant Agency of the Czech Republic [GACR P103/15/06700S]; 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/2017/004] | |
| utb.contributor.internalauthor | Pluháček, Michal | |
| utb.contributor.internalauthor | Viktorin, Adam | |
| utb.contributor.internalauthor | Šenkeřík, Roman | |
| utb.contributor.internalauthor | Kadavý, Tomáš | |
| utb.fulltext.affiliation | Michal Pluhacek 1 ✉ , Adam Viktorin 1 , Roman Senkerik 1 , Tomas Kadavy 1 , and Ivan Zelinka 2 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek,aviktorin,senkerik,kadavy}@fai.utb.cz 2 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic [email protected] | |
| utb.fulltext.dates | - | |
| utb.fulltext.references | 1. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, pp. 1942–1948 (1995) 2. Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: Proceedings of the IEEE International Conference on Evolutionary Computation (IEEE World Congress on Computational Intelligence), pp. 69–73 (1998) 3. Kennedy, J.: The particle swarm: social adaptation of knowledge. In: Proceedings of the IEEE International Conference on Evolutionary Computation, pp. 303–308 (1997) 4. Nickabadi, A., Ebadzadeh, M.M., Safabakhsh, R.: A novel particle swarm optimization algorithm with adaptive inertia weight. Appl. Soft Comput. 11(4), 3658–3670 (2011). ISSN: 1568-4946 5. Zelinka, I., Davendra, D., Enkek, R., Jaek, R.: Do evolutionary algorithm dynamics create complex network structures? Complex Syst. 20(2), 127–140 (2011). ISSN:0891–2513 6. Zelinka, I.: Investigation on relationship between complex network and evolutionary algorithms dynamics. In: AIP Conference Proceedings, vol. 1389, no. 1, pp. 1011–1014 (2011) 7. Zelinka, I., Davendra, D.D., Chadli, M., Senkerik, R., Dao, T.T., Skanderova, L.: Evolutionary dynamics as the structure of complex networks. In: Zelinka, I., Snasel, V., Abraham, A. (eds.) Handbook of Optimization. ISRL, vol. 38, pp. 215–243. Springer, Heidelberg (2013) 8. Davendra, D., Zelinka, I., Senkerik, R., Pluhacek, M.: Complex network analysis of discrete self-organising migrating algorithm. In: Zelinka, I., Suganthan, P., Chen, G., Snasel, V., Abraham, A., Rossler, O. (eds.) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Advances in Intelligent Systems and Computing, vol. 289, pp. 161–174. Heidelberg, Springer (2014) 9. Davendra, D., Zelinka, I., Metlicka, M., Senkerik, R., Pluhacek, M.: Complex network analysis of differential evolution algorithm applied to flowshop with no-wait problem. In: 2014 IEEE Symposium on Differential Evolution (SDE), pp. 1–8, 9–12 December (2014) 10. Newman, M.E.J.: The mathematics of networks. New Palgrave Encycl. Econ. 2(2008), 1–12 (2008) 11. Digalakis, J.G., Margaritis, K.G.: On benchmarking functions for genetic algorithms. Int. J. Comput. Math. 77(4), 481–506 (2001) 12. Dieterich, J.M., Hartke, B.: Empirical review of standard benchmark functions using evolutionary global optimization. arXiv preprint arXiv:1207.4318 (2012) | |
| utb.fulltext.sponsorship | This work was supported by Grant Agency of the Czech Republic – GACR P103/15/06700S, 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 Projects no. IGA/CebiaTech/2017/004. | |
| utb.scopus.affiliation | Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, Zlin, Czech Republic; Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, Czech Republic |
