TBU Publications
Repository of TBU Publications

On relation between swarm and evolutionary dynamics and complex networks

DSpace Repository

Show simple item record

dc.title On relation between swarm and evolutionary dynamics and complex networks en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Springer Proceedings in Complexity
dc.identifier.issn 2213-8684 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783030000745
dc.date.issued 2019
dc.citation.spage 245
dc.citation.epage 260
dc.event.title Conference on Complex Systems, CCS 2017
dc.event.location Cancún
utb.event.state-en Mexico
utb.event.state-cs Mexiko
dc.event.sdate 2017-09-17
dc.event.edate 2017-09-22
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer
dc.identifier.doi 10.1007/978-3-030-00075-2_9
dc.relation.uri https://link.springer.com/chapter/10.1007%2F978-3-030-00075-2_9
dc.subject Analysis en
dc.subject Complex networks en
dc.subject Evolutionary algorithms en
dc.subject Graphs en
dc.subject Swarm algorithms en
dc.description.abstract This paper is an introduction to a novel method for visualizing the dynamics of evolutionary algorithms in the form of networks. The whole idea is based on the obvious similarity between interactions between individuals in a swarm and evolutionary algorithms and for example, users of social networks, linking between web pages, etc. In this paper, two completely different areas of research are merged: (complex) networks and evolutionary computation. As already mentioned, interactions among the individuals in a swarm and evolutionary algorithms can be considered like user interactions in social networks or just people in society. This induces hypothesis whether interactions inside of EAs can be taken like interactions in society or swarm colonies. The analogy between individuals in populations in an arbitrary evolutionary algorithm and vertices of a network is discussed, as well as between edges in a network and communication between individuals in a population. © Springer Nature Switzerland AG 2019. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009110
utb.identifier.obdid 43880103
utb.identifier.scopus 2-s2.0-85071883173
utb.source d-scopus
dc.date.accessioned 2019-09-19T07:56:17Z
dc.date.available 2019-09-19T07:56:17Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.sponsorship Acknowledgments This work was supported by Grant Agency of the Czech Republic, GACR P103/15/06700S, further by the financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, partially supported by Grant SGS 2017/134 of VSB-Technical University of Ostrava and by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project “IT4Innovations excellence in science – LQ1602”.
utb.scopus.affiliation Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, Poruba, Ostrava, Czech Republic; Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic
utb.fulltext.projects LQ1602
utb.fulltext.projects MSMT-7778/2014
utb.fulltext.projects GACR P103/15/06700S
utb.fulltext.projects SGS 2017/134
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
Find Full text

Files in this item

Show simple item record