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Shade mutation strategy analysis via dynamic simulation in complex network
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| dc.title | Shade mutation strategy analysis via dynamic simulation in complex network | en |
| dc.contributor.author | Viktorin, Adam | |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Kadavý, Tomáš | |
| 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 | 299 | |
| dc.citation.epage | 305 | |
| 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 | 10.7148/2017-0299 | |
| dc.relation.uri | http://www.scs-europe.net/dlib/2017/2017-0299.htm | |
| dc.relation.uri | http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0299-is_ECMS2017_0127.pdf | |
| dc.subject | Differential Evolution | en |
| dc.subject | SHADE | en |
| dc.subject | Complex Network | en |
| dc.subject | Mutation | en |
| dc.description.abstract | This paper presents a novel approach to visualizing Evolutionary Algorithm (EA) dynamic in complex network and analyses the greediness of "current-topbest/1" mutation strategy used in state-of-art Differential Evolution (DE) algorithm-Success-History based Adaptive DE (SHADE) on CEC2015 benchmark set of test functions. Provided analysis suggests that the greediness might not be the optimal approach for guiding the evolution. © 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/10563/1007244 | |
| utb.identifier.obdid | 43877061 | |
| utb.identifier.scopus | 2-s2.0-85021783214 | |
| utb.identifier.wok | 000404420000045 | |
| 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 | Viktorin, Adam | |
| utb.contributor.internalauthor | Šenkeřík, Roman | |
| utb.contributor.internalauthor | Pluháček, Michal | |
| utb.contributor.internalauthor | Kadavý, Tomáš | |
| utb.fulltext.affiliation | Adam Viktorin Roman Senkerik Michal Pluhacek Tomas Kadavy Tomas Bata University in Zlin, Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {aviktorin, senkerik, pluhacek, kadavy}@fai.utb.cz | |
| utb.fulltext.dates | - | |
| utb.fulltext.references | Brest, J., Greiner, S., Boskovic, B., Mernik, M., & Zumer, V. (2006). Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark prob-lems. IEEE transactions on evolutionary computation, 10(6), 646-657. Brest, J., Korošec, P., Šilc, J., Zamuda, A., Bošković, B., & Maučec, M. S. (2013). Differen-tial evolution and differential ant-stigmergy on dynamic optimisation problems. International Journal of Systems Science, 44(4), 663-679. Das, S., Abraham, A., Chakraborty, U. K., & Konar, A. (2009). Differential evolution using a neighborhoodbased mutation operator. IEEE Transactions on Evolutionary Computa-tion, 13(3), 526-553. Das, S., Mullick, S. S., & Suganthan, P. N. (2016). Recent advances in differential evolution–An updated survey. Swarm and Evolutionary Computation, 27, 1-30. Mallipeddi, R., Suganthan, P. N., Pan, Q. K., & Tasgetiren, M. F. (2011). Differential evolu-tion algorithm with ensemble of parameters and mutation strategies. Applied Soft Compu-ting, 11(2), 1679-1696. Mininno, E., Neri, F., Cupertino, F., & Naso, D. (2011). Compact differential evolution. IEEE Transactions on Evolutionary Computation, 15(1), 32-54. Neri, F., & Tirronen, V. (2010). Recent advances in differential evolution: a survey and exper-imental analysis. Artificial Intelligence Review, 33(1-2), 61-106. Pluhacek, M., Janostik, J., Senkerik, R., & Zelinka, I. (2016). 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. Qin, A. K., Huang, V. L., & Suganthan, P. N. (2009). Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE transactions on Evolutionary Computation, 13(2), 398-417. Storn, R., & Price, K. (1995). Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces (Vol. 3). Berkeley: ICSI. Tanabe, R., & Fukunaga, A. (2013). Success-history based parameter adaptation for differential evolution. In Evolutionary Computation (CEC), 2013 IEEE Congress on (pp. 71-78). IEEE. Tanabe, R., & Fukunaga, A. S. (2014). Improving the search performance of SHADE using linear population size reduction. In Evolutionary Computation (CEC), 2014 IEEE Con-gress on (pp. 1658-1665). IEEE. Viktorin, A., Pluhacek, M., & Senkerik, R. (2016). Network Based Linear Population Size Reduction in SHADE. In Intelligent Networking and Collaborative Systems (INCoS), 2016 International Conference on (pp. 86-93). IEEE. Zhang, J., & Sanderson, A. C. (2009). JADE: adaptive differential evolution with optional external archive. Evolutionary Computation, IEEE Transactions on, 13(5), 945-958. | |
| 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 |
