Kontaktujte nás | Jazyk: čeština English
dc.title | On the influence of different randomization and complex network analysis for differential evolution | en |
dc.contributor.author | Šenkeřík, Roman | |
dc.contributor.author | Viktorin, Adam | |
dc.contributor.author | Pluháček, Michal | |
dc.contributor.author | Janoštík, Jakub | |
dc.contributor.author | Davendra, Donald David | |
dc.relation.ispartof | 2016 IEEE Congress on Evolutionary Computation, CEC 2016 | |
dc.identifier.isbn | 9781509006229 | |
dc.date.issued | 2016 | |
dc.citation.spage | 3346 | |
dc.citation.epage | 3353 | |
dc.event.title | 2016 IEEE Congress on Evolutionary Computation, CEC 2016 | |
dc.event.location | Vancouver | |
utb.event.state-en | Canada | |
utb.event.state-cs | Kanada | |
dc.event.sdate | 2016-07-24 | |
dc.event.edate | 2016-07-29 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.identifier.doi | 10.1109/CEC.2016.7744213 | |
dc.relation.uri | http://ieeexplore.ieee.org/document/7744213/ | |
dc.subject | Clustering coefficient | en |
dc.subject | Complex networks | en |
dc.subject | Degree centrality | en |
dc.subject | Deterministic chaos | en |
dc.subject | Differential evolution | en |
dc.subject | Randomization | en |
dc.description.abstract | This research deals with the hybridization of the chaos driven heuristics concept and complex networks framework for evolutionary algorithms. This paper aims on the experimental investigations on the influence of different randomization types for chaos-driven Differential Evolution (DE) through the analysis of complex network as a record of population dynamics. The population is visualized as an evolving complex network, which exhibits non-trivial features. Complex network attributes such as adjacency graph gives interconnectivity, centralities give the overview of convergence and stagnation, clustering coefficient gives diversity of population whereas other attributes like network density, average number of neighbors within the population shows efficiency of the network. Experiments were performed for two different DE strategies, four different randomization types and two simple test functions. © 2016 IEEE. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1006960 | |
utb.identifier.obdid | 43876352 | |
utb.identifier.scopus | 2-s2.0-85008249074 | |
utb.identifier.wok | 000390749103069 | |
utb.source | d-wok | |
dc.date.accessioned | 2017-07-13T14:50:26Z | |
dc.date.available | 2017-07-13T14:50:26Z | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.contributor.internalauthor | Viktorin, Adam | |
utb.contributor.internalauthor | Pluháček, Michal | |
utb.contributor.internalauthor | Janoštík, Jakub | |
utb.fulltext.affiliation | Roman Senkerik, Adam Viktorin, Michal Pluhacek, Jakub Janostik Faculty of Applied Informatics Tomas Bata University in Zlin T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {senkerik, pluhacek, aviktorin, janostik}@fai.utb.cz Donald Davendra Computer Science Department Central Washington University 400 E. University Way, Ellensburg, WA 98926-7520, USA. donaldd@cwu.edu | |
utb.fulltext.dates | - | |
utb.fulltext.sponsorship | This work was supported by Grant Agency of the Czech Republic - GACR P103/15/06700S, further by This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Pro- gramme 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. |