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Chaos based optimization: Implementations and possibilities

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dc.title Chaos based optimization: Implementations and possibilities en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Viktorin, Adam
dc.relation.ispartof AIP Conference Proceedings
dc.identifier.issn 0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9780735415386
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 10.1063/1.4992258
dc.relation.uri http://aip.scitation.org/doi/abs/10.1063/1.4992258
dc.description.abstract This paper investigates the utilization of the complex chaotic dynamics given by the several selected time-continuous as well as discrete chaotic systems, as the chaotic pseudo random number generators and driving maps for the chaotic optimization. Chaos based optimization concept is utilizing direct output iterations of chaotic systems transferred into the required numerical range or it uses the chaotic dynamics for mapping the search space mostly within the local search techniques. This paper shows two groups of complex chaotic dynamics given by either discrete systems or time continuous chaotic flows and oscillators. Simulations of examples of chaotic dynamics, implementation issues and possibilities are briefly discussed in this paper. © 2017 Author(s). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007300
utb.identifier.scopus 2-s2.0-85026631340
utb.identifier.wok 000410159800108
utb.source d-scopus
dc.date.accessioned 2017-09-03T21:40:09Z
dc.date.available 2017-09-03T21:40:09Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Viktorin, Adam
utb.fulltext.affiliation Roman Senkerik a) , Michal Pluhacek b) and Adam Viktorin c) Tomas Bata University in Zlin , Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic a) Corresponding author: senkerik@fai.utb.cz b) pluhacek@fai.utb.cz c) aviktorin@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references 1. Celikovsky, S. and Zelinka, I. (2010) 'Chaos Theory for Evolutionary Algorithms Researchers' in Zelinka, I., Celikovsky, S., Richter, H. and Chen, G., eds., Evolutionary Algorithms and Chaotic Systems, Springer Berlin Heidelberg, 89-143. 2. Lee, J. S. and Chang, K. S. (1996) 'Applications of chaos and fractals in process systems engineering', Journal of Process Control, 6(2–3), 71-87. 3. Lozi, R. (2012) 'Emergence of Randomness from Chaos', International Journal of Bifurcation and Chaos, 22(02), 1250021. 4. Persohn, K. J. and Povinelli, R. J. (2012) 'Analyzing logistic map pseudorandom number generators for periodicity induced by finite precision floating-point representation', Chaos, Solitons & Fractals, 45(3), 238-245. 5. Wang, X.-y. and Qin, X. (2012) 'A new pseudo-random number generator based on CML and chaotic iteration', Nonlinear Dynamics, 70(2), 1589-1592. 6. Narendra, K. P., Vinod, P. and Krishan, K. S. (2010) 'A Random Bit Generator Using Chaotic Maps', International Journal of Network Security, 10, 32 - 38. 7. Yang, L. and Wang, X.-Y. (2012) 'Design of Pseudo-random Bit Generator Based on Chaotic Maps', International Journal of Modern Physics B, 26(32), 1250208. 8. Aydin, I., Karakose, M. and Akin, E. (2010) 'Chaotic-based hybrid negative selection algorithm and its applications in fault and anomaly detection', Expert Systems with Applications, 37(7), 5285-5294. 9. Caponetto R, Fortuna L, Fazzino S, Xibilia MG (2003) Chaotic sequences to improve the performance of evolutionary algorithms. IEEE Transactions on Evolutionary Computation 7 (3):289-304. 10. D. Davendra, I. Zelinka, and R. Senkerik, "Chaos driven evolutionary algorithms for the task of PID control," Computers & Mathematics with Applications, vol. 60, pp. 1088-1104, 2010. 11. W. Liang, L. Zhang, and M. Wang, "The chaos differential evolution optimization algorithm and its application to support vector regression machine," Journal of Software, vol. 6, pp. 1297- 1304, 2011. 12. Coelho, L. d. S. and Mariani, V. C. (2009) 'A novel chaotic particle swarm optimization approach using Hénon map and implicit filtering local search for economic load dispatch', Chaos, Solitons & Fractals, 39(2), 510-518. 13. Pluhacek, M., Senkerik, R., Davendra, D., Kominkova Oplatkova, Z. and Zelinka, I. (2013) 'On the behavior and performance of chaos driven PSO algorithm with inertia weight', Computers & Mathematics with Applications, 66(2), 122- 134. 14. Pluhacek, M., Senkerik, R. and Zelinka, I. (2014) 'Multiple Choice Strategy Based PSO Algorithm with Chaotic Decision Making – A Preliminary Study' in Herrero, Á., Baruque, B., Klett, F., Abraham, A., Snášel, V., Carvalho, A. C. P. L. F., Bringas, P. G., Zelinka, I., Quintián, H. and Corchado, E., eds., International Joint Conference SOCO’13-CISIS’13-ICEUTE’13, Springer International Publishing, 21-30. 15. Hamaizia, T. and Lozi, R. (2011) Improving Chaotic Optimization Algorithm using a new global locally averaged strategy, translated by pp. 17-20. 16. Viktorin, A., Pluhacek, M., Senkerik, R. (2016) Multi-chaotic System Induced Success-History Based Adaptive Differential Evolution, Artificial Intelligence and Soft Computing, LNCS Vol. 9692, pp. 517 – 527. 17. Sprott, J. C. (2003) Chaos and Time-Series Analysis, Oxford University Press.
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) and 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 Zlin, Faculty of Applied Informatics Nam, T.G. Masaryka 5555, Zlin, Czech Republic
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