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dc.title | How unconventional chaotic pseudo-random generators influence population diversity in differential evolution | en |
dc.contributor.author | Šenkeřík, Roman | |
dc.contributor.author | Viktorin, Adam | |
dc.contributor.author | Pluháček, Michal | |
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 | 978-3-319-91252-3 | |
dc.date.issued | 2018 | |
utb.relation.volume | 10841 LNAI | |
dc.citation.spage | 524 | |
dc.citation.epage | 535 | |
dc.event.title | 17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018 | |
dc.event.location | Zakopane | |
utb.event.state-en | Poland | |
utb.event.state-cs | Polsko | |
dc.event.sdate | 2018-06-03 | |
dc.event.edate | 2018-06-07 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Springer Verlag | |
dc.identifier.doi | 10.1007/978-3-319-91253-0_49 | |
dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-319-91253-0_49 | |
dc.subject | Differential Evolution | en |
dc.subject | Complex dynamics | en |
dc.subject | Deterministic chaos | en |
dc.subject | Population diversity | en |
dc.subject | Chaotic map | en |
dc.description.abstract | This research focuses on the modern hybridization of the discrete chaotic dynamics and the evolutionary computation. It is aimed at the influence of chaotic sequences on the population diversity as well as at the algorithm performance of the simple parameter adaptive Differential Evolution (DE) strategy: jDE. Experiments are focused on the extensive investigation of totally ten different randomization schemes for the selection of individuals in DE algorithm driven by the default pseudo random generator of Java environment and nine different two-dimensional discrete chaotic systems, as the chaotic pseudo-random number generators. The population diversity and jDE convergence are recorded for 15 test functions from the CEC 2015 benchmark set in 30D. © Springer International Publishing AG, part of Springer Nature 2018. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1008003 | |
utb.identifier.obdid | 43879136 | |
utb.identifier.scopus | 2-s2.0-85048036682 | |
utb.identifier.wok | 000552718500049 | |
utb.source | d-scopus | |
dc.date.accessioned | 2018-07-27T08:47:39Z | |
dc.date.available | 2018-07-27T08:47:39Z | |
dc.description.sponsorship | 2018/177; IC406; MSMT-7778/2014, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy; LO1303, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy; 710577, Horizon 2020; CA15140; IGA/CebiaTech/2018/003; CZ.1.05/2.1.00/03.0089, FEDER, European Regional Development Fund | |
dc.description.sponsorship | 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/2018/003]; COST ActionEuropean Cooperation in Science and Technology (COST) [CA15140, IC406]; SGS [2018/177]; VSB-TUO; EU's Horizon 2020 research and innovation programme [710577] | |
utb.ou | CEBIA-Tech | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.contributor.internalauthor | Viktorin, Adam | |
utb.contributor.internalauthor | Pluháček, Michal | |
utb.contributor.internalauthor | Kadavý, Tomáš | |
utb.fulltext.affiliation | Roman Senkerik 1( ✉ ) http://orcid.org/0000-0002-5839-4263 , Adam Viktorin 1 http://orcid.org/0000-0003-0861-0340 , Michal Pluhacek 1 http://orcid.org/0000-0002-3692-2838 , Tomas Kadavy 1 http://orcid.org/0000-0002-3341-4336 , and Ivan Zelinka 2 http://orcid.org/0000-0002-3858-7340 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01 Zlin, Czech Republic {senkerik,aviktorin,pluhacek,kadavy}@utb.cz 2 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic ivan.zelinka@vsb.cz | |
utb.fulltext.dates | - | |
utb.fulltext.references | 1. Caponetto, R., Fortuna, L., Fazzino, S., Xibilia, M.G.: Chaotic sequences to improve the performance of evolutionary algorithms. IEEE Trans. Evol. Comput. 7(3), 289–304 (2003) 2. dos Santos Coelho, L., Mariani, V.C.: A novel chaotic particle swarm optimization approach using H ́enon map and implicit filtering local search for economic load dispatch. Chaos Solitons Fractals 39(2), 510–518 (2009) 3. Davendra, D., Zelinka, I., Senkerik, R.: Chaos driven evolutionary algorithms for the task of PID control. Comput. Math. Appl. 60(4), 1088–1104 (2010) 4. Pluhacek, M., Senkerik, R., Davendra, D., Oplatkova, Z.K., Zelinka, I.: On the behavior and performance of chaos driven PSO algorithm with inertia weight. Comput. Math. Appl. 66(2), 122–134 (2013) 5. Pluhacek, M., Senkerik, R., Davendra, D.: Chaos particle swarm optimization with eensemble of chaotic systems. Swarm Evol. Comput. 25, 29–35 (2015) 6. Metlicka, M., Davendra, D.: Chaos driven discrete artificial bee algorithm for location and assignment optimisation problems. Swarm Evol. Comput. 25, 15–28 (2015) 7. Gandomi, A.H., Yang, X.S., Talatahari, S., Alavi, A.H.: Firefly algorithm with chaos. Commun. Nonlinear Sci. Numer. Simul. 18(1), 89–98 (2013) 8. Wang, G.G., Guo, L., Gandomi, A.H., Hao, G.S., Wang, H.: Chaotic Krill Herd algorithm. Inf. Sci. 274, 17–34 (2014) 9. Zhang, C., Cui, G., Peng, F.: A novel hybrid chaotic ant swarm algorithm for heat exchanger networks synthesis. Appl. Therm. Eng. 104, 707–719 (2016) 10. Jordehi, A.R.: Chaotic bat swarm optimisation (CBSO). Appl. Soft Comput. 26, 523–530 (2015) 11. Wang, G.G., Deb, S., Gandomi, A.H., Zhang, Z., Alavi, A.H.: Chaotic cuckoo search. Soft. Comput. 20(9), 3349–3362 (2016) 12. dos Santos Coelho, L., Ayala, H.V.H., Mariani, V.C.: A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization. Appl. Math. Comput. 234, 452–459 (2014) 13. Zamuda, A., Brest, J.: Self-adaptive control parameters’ randomization frequency and propagations in differential evolution. Swarm Evol. Comput. 25, 72–99 (2015) 14. Brest, J., Greiner, S., Boskovic, B., Mernik, M., Zumer, V.: Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans. Evol. Comput. 10(6), 646–657 (2006) 15. Das, S., Mullick, S.S., Suganthan, P.N.: Recent advances in differential evolution-an updated survey. Swarm Evol. Comput. 27, 1–30 (2016) 16. Tanabe, R., Fukunaga, A.S.: Improving the search performance of shade using linear population size reduction. In: 2014 IEEE Congress on Evolutionary Computation (CEC), pp. 1658–1665. IEEE (2014) 17. Senkerik, R., Pluhacek, M., Zelinka, I., Davendra, D., Janostik, J.: Preliminary study on the randomization and sequencing for the chaos embedded heuristic. In: Abraham, A., Wegrzyn-Wolska, K., Hassanien, A.E., Snasel, V., Alimi, A.M. (eds.) Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. AISC, vol. 427, pp. 591–601. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-29504-6 55 18. Senkerik, R., Pluhacek, M., Viktorin, A., Kadavy, T.: On the randomization of indices selection for differential evolution. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds.) CSOC 2017. AISC, vol. 573, pp. 537–547. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57261-1 53 19. Senkerik, R., Pluhacek, M., Zelinka, I., Viktorin, A., Kominkova Oplatkova, Z.: Hybridization of multi-chaotic dynamics and adaptive control parameter adjusting jDE strategy. In: Matoušek, R. (ed.) ICSC-MENDEL 2016. AISC, vol. 576, pp. 77–87. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58088-3 8 20. Sprott, J.C., Sprott, J.C.: Chaos and time-series analysis, vol. 69. Citeseer (2003) 21. Poláková, R., Tvrdík, J., Bujok, P., Matoušek, R.: Population-size adaptation through diversity-control mechanism for differential evolution. In: MENDEL, 22th International Conference on Soft Computing, pp. 49–56 (2016) 22. Viktorin, A., Pluhacek, M., Senkerik, R.: Success-history based adaptive differential evolution algorithm with multi-chaotic framework for parent selection performance on CEC2014 benchmark set. In: 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 4797–4803. IEEE (2016) | |
utb.fulltext.sponsorship | This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014), further 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. IGA/CebiaTech/2018/003. This work is also based upon support by COST Action CA15140 (ImAppNIO), and COST Action IC406 (cHiPSet). Prof. Zelinka acknowledges following grants/projects: SGS No. 2018/177, VSB-TUO and by the EU’s Horizon 2020 research and innovation programme under grant agreement No. 710577. | |
utb.wos.affiliation | [Senkerik, Roman; Viktorin, Adam; Pluhacek, Michal; Kadavy, Tomas] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic; [Zelinka, Ivan] Tech Univ Ostrava, Fac Elect Engn & Comp Sci, 17 Listopadu 15, Ostrava 70833, Czech Republic | |
utb.scopus.affiliation | Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, Zlin, Czech Republic; Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Poruba, Ostrava, Czech Republic | |
utb.fulltext.projects | LO1303 (MSMT-7778/2014) | |
utb.fulltext.projects | CZ.1.05/2.1.00/03.0089 | |
utb.fulltext.projects | IGA/CebiaTech/2018/003 | |
utb.fulltext.projects | COST Action CA15140 (ImAppNIO) | |
utb.fulltext.projects | COST Action IC406 (cHiPSet) | |
utb.fulltext.projects | SGS 2018/177 | |
utb.fulltext.projects | H2020 710577 |