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

Kadavý, Tomáš; Pluháček, Michal; Viktorin, Adam; Šenkeřík, Roman

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	978-0-9932440-4-9
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