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Firework algorithm dynamics simulated and analyzed with the aid of complex network

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dc.title Firework algorithm dynamics simulated and analyzed with the aid of complex network en
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Pluháček, Michal
dc.contributor.author Viktorin, Adam
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
dc.identifier.isbn 9780993244049
dc.date.issued 2017
dc.citation.spage 313
dc.citation.epage 318
dc.event.title 31st European Conference on Modelling and Simulation, ECMS 2017
dc.event.location Budapest
utb.event.state-en Hungary
utb.event.state-cs Maďarsko
dc.event.sdate 2017-05-23
dc.event.edate 2017-05-26
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation
dc.identifier.doi 10.7148/2017-0313
dc.relation.uri http://www.scs-europe.net/dlib/2017/2017-0313.htm
dc.relation.uri http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0313-is_ECMS2017_0129.pdf
dc.subject Firework Algorithm en
dc.subject FWA en
dc.subject Complex Network en
dc.subject Surface Analysis en
dc.description.abstract In this paper, we are presenting a visualization of Firework Algorithm (FWA) inner dynamics as an evolving complex network. Recent research in unconventional controlling and simulation of metaheuristic dynamics shows that this kind of visualization technique has been utilized only for algorithms with some social communication or behavior leading to sharing information across the population. Our simulation experiment presents the original approach for analyzing the complex dynamics of an algorithm based mostly on random/local search engines. Provided analysis suggests that the built network can be used for identification of test function surfaces types. © ECMS Zita Zoltay Paprika, Péter Horák, Kata Váradi,Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics (Editors). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007246
utb.identifier.obdid 43877169
utb.identifier.scopus 2-s2.0-85021794115
utb.identifier.wok 000404420000047
utb.source d-scopus
dc.date.accessioned 2017-09-03T21:40:05Z
dc.date.available 2017-09-03T21:40:05Z
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 Kadavý, Tomáš
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Tomas Kadavy Michal Pluhacek Adam Viktorin Roman Senkerik Tomas Bata University in Zlin, Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {kadavy, pluhacek, aviktorin, senkerik }@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references Tan Y., Zhu Y. (2010) Fireworks Algorithm for Optimization. In: Tan Y., Shi Y., Tan K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg Laguna M., Marti R. Scatter search: methodology and implementations in C. Boston: Kluwer Academic Publishers, c2003. ISBN 9781402073762. Glover F., Future paths for integer programming and links to artificial intelligence, Computers & Operations Research, Volume 13, Issue 5, 1986, Pages 533-549 Shah-Hosseini H., the intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm. Int. J. Bio-Inspir. Comput. 1(1), 71-79 (2009) Shi Y., Brain storm optimization algorithm, in Advances in Swarm intelligence (Springer, Berlin, 2011), pp. 303-309 Tayarani N.M.H., Akbarzadeh-T M.R., Magnetic optimization algorithms a new synthesis, in 2008 IEEE World Congress on Compunational Intelligence Evolutionary Computation (CEC) (IEEE, 2008), pp. 2659-2664 Barrat, A., Barthelemy M., Vespignani A. Dynamical processes on complex networks. New York: Cambridge University Press, 2008. ISBN 9780521879507. Otte, Evelien; Rousseau, Ronald (2002). "Social network analysis: a powerful strategy, also for the information sciences". Journal of Information Science. 28 (6): 441–453 Kudĕlka, M., Zehnalová, Š., Horák, Z., Krömer, P., & Snášel, V. (2015). Local dependency in networks. International Journal of Applied Mathematics and Computer Science, 25(2), 281-293. Pluhacek, M., Janostik, J., Senkerik, R., & Zelinka, I. (2016a). Converting PSO dynamics into complex network-Initial study. In T. Simos, & C. Tsitouras (Eds.), AIP Conference Proceedings (Vol. 1738, No. 1, p. 120021). AIP Publishing. Pluhacek, M., Senkerik, R., Janostik, J., Viktorin, A., & Zelinka, I. (2016b). Study on swarm dynamics converted into complex network. In Proceedings-30th European Conference on Modelling and Simulation, ECMS 2016. European Council for Modelling and Simulation (ECMS). Senkerik, R., Viktorin, A., Pluhacek, M., Janostik, J., & Davendra, D. (2016a). On the Influence of Different Randomization and Complex Network Analysis for Differential Evolution. In 2016 IEEE Congress on Evolutionary Computation (CEC) (pp. 3346-3353). IEEE. Senkerik, R., Viktorin, A., Pluhacek, M., Janostik, J., & Oplatkova, Z. K. (2016b). Study on the Time Development of Complex Network for Metaheuristic. In Artificial Intelligence Perspectives in Intelligent Systems (pp. 525-533). Springer International Publishing.
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 Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, Zlin, Czech Republic
utb.fulltext.projects GACR P103/15/06700S
utb.fulltext.projects LO1303
utb.fulltext.projects MSMT-7778/2014
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.projects IGA/CebiaTech/2017/004
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