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Differential evolution and chaotic series
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| dc.title | Differential evolution and chaotic series | en |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.contributor.author | Viktorin, Adam | |
| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Kadavý, Tomáš | |
| dc.contributor.author | Komínková Oplatková, Zuzana | |
| dc.relation.ispartof | 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP) | |
| dc.identifier.issn | 2157-8672 Scopus Sources, Sherpa/RoMEO, JCR | |
| dc.identifier.isbn | 978-1-5386-6979-2 | |
| dc.date.issued | 2018 | |
| utb.relation.volume | 2018-June | |
| dc.event.title | 25th International Conference on Systems, Signals and Image Processing, IWSSIP 2018 | |
| dc.event.location | Maribor | |
| utb.event.state-en | Slovenia | |
| utb.event.state-cs | Slovinsko | |
| dc.event.sdate | 2018-06-20 | |
| dc.event.edate | 2018-06-22 | |
| dc.type | conferenceObject | |
| dc.language.iso | en | |
| dc.publisher | IEEE Computer Society | |
| dc.identifier.doi | 10.1109/IWSSIP.2018.8439199 | |
| dc.relation.uri | https://ieeexplore.ieee.org/document/8439199 | |
| 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 deals with the modern and popular hybridization of chaotic dynamics and evolutionary computation. It is aimed at the influence of chaotic sequences on the performance of four selected Differential Evolution (DE) variants. The variants of interest were: original DE/Rand/1/ and DE/Best/1/ mutation schemes, simple parameter adaptive jDE, and the recent state of the art version SHADE. Experiments are focused on the extensive investigation of the different randomization schemes for the selection of individuals in DE algorithm driven by the nine different two-dimensional discrete chaotic systems, as the chaotic pseudo-random number generators. The performances of DE variants and their chaotic/non-chaotic versions are recorded in the one-dimensional settings of 10 $D$ and 15 test functions from the CEC 2015 benchmark. © 2018 IEEE. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1008211 | |
| utb.identifier.obdid | 43879134 | |
| utb.identifier.scopus | 2-s2.0-85053130042 | |
| utb.identifier.wok | 000451277200005 | |
| utb.source | d-scopus | |
| dc.date.accessioned | 2018-10-03T11:13:03Z | |
| dc.date.available | 2018-10-03T11:13:03Z | |
| 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 (European Cooperation in Science Technology) [Action CA15140, IC1406]; Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO); High-Performance Modelling, and Simulation for Big Data Applications (cHiPSet) [Action IC1406]; A. I. Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin | |
| 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.contributor.internalauthor | Komínková Oplatková, Zuzana | |
| utb.fulltext.affiliation | Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, and Zuzana Kominkova Oplatkova Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic senkerik@utb.cz | |
| utb.fulltext.dates | - | |
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Zumer, “Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems,” IEEE Transactions on Evolutionary Computation, vol. 10, no. 6, pp. 646–657, 2006. [18] K. V. Price, R. M. Storn, and J. A. Lampinen, Differential Evolution: A Practical Approach to Global Optimization, ser. Natural Computing Series. Berlin, Germany: Springer-Verlag, 2005. [19] S. Das ,S. S. Mullick, and P. Suganthan,“Recent advances in differential evolution – An updated survey,” Swarm and Evolutionary Computation, vol. 27, pp. 1–30, 2016. [20] S. Das, A. Abraham, U. Chakraborty, and A. Konar, “Differential Evolution Using a Neighborhood-based Mutation Operator,” IEEE Transactions on Evolutionary Computation, vol. 13, no. 3, pp. 526–553, 2009. [21] R. Mallipeddi, P. N. Suganthan, Q. K. Pan, and M. F. Tasgetiren, “Differential evolution algorithm with ensemble of parameters and mutation strategies,” Applied Soft Computing, vol. 11, no. 2, pp. 1679–1696, 2011. 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In: Abraham A, Wegrzyn-Wolska K, Hassanien EA, Snasel V, Alimi MA (eds) Proceedings of the Second International AfroEuropean Conference for Industrial Advancement AECIA 2015. Springer International Publishing, Cham, pp 591-601. [26] Sprott JC (2003) Chaos and Time-Series Analysis. Oxford University Press. [27] Viktorin, A., Pluhacek, M., & Senkerik, R. (2016, July). Success-history based adaptive differential evolution algorithm with multi-chaotic framework for parent selection performance on CEC2014 benchmark set. In Evolutionary Computation (CEC), 2016 IEEE Congress on (pp. 4797-4803). IEEE. | |
| 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 under the Projects no. IGA/CebiaTech/2018/003. This work is also based upon support by COST (European Cooperation in Science & Technology) under Action CA15140, Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO), and Action IC1406, High-Performance Modelling, and Simulation for Big Data Applications (cHiPSet). The work was further supported by resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz). | |
| utb.wos.affiliation | [Senkerik, Roman; Viktorin, Adam; Pluhacek, Michal; Kadavy, Tomas; Oplatkova, Zuzana Kominkova] Tomas Bata Univ Zlin, Fac Appl Informat, Nam TG Masaryka 5555, CR-76001 Zlin, Czech Republic | |
| utb.scopus.affiliation | Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, Zlin, 760 01, 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 | CA15140 | |
| utb.fulltext.projects | ImAppNIO | |
| utb.fulltext.projects | IC1406 | |
| utb.fulltext.projects | cHiPSet |
