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Graph based evolutionary algorithms: Producing spanning tree individuals

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dc.title Graph based evolutionary algorithms: Producing spanning tree individuals en
dc.contributor.author Košťálová, Alena
dc.contributor.author Král, Erik
dc.contributor.author Prokopová, Zdenka
dc.contributor.author Loureiro Da Costa, Augusto
dc.relation.ispartof Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018
dc.identifier.isbn 9781728113609
dc.date.issued 2018
dc.citation.spage 1440
dc.citation.epage 1441
dc.event.title 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018
dc.event.location Las Vegas, NV
utb.event.state-en United States
utb.event.state-cs Spojené státy americké
dc.event.sdate 2018-12-13
dc.event.edate 2018-12-15
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/CSCI46756.2018.00280
dc.relation.uri https://ieeexplore.ieee.org/document/8947899
dc.subject Crossing en
dc.subject Evolutionary algorithms en
dc.subject Genetic algorithms en
dc.subject Mutation en
dc.subject Spanning tree en
dc.description.abstract This poster paper addresses drawbacks of the use of evolutionary algorithms to solve problems that are represented in a form of a graph with a spanning tree solution. The spanning trees are notoriously hard to cross and mutate. Commonly requiring special checking and correcting algorithms to be used. We propose a new structure which overcomes the problem by the means of a bijective mapping into another graph domain. © 2018 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009551
utb.identifier.obdid 43878785
utb.identifier.scopus 2-s2.0-85078570838
utb.source d-scopus
dc.date.accessioned 2020-02-11T10:07:38Z
dc.date.available 2020-02-11T10:07:38Z
utb.ou CEBIA-Tech
utb.contributor.internalauthor Košťálová, Alena
utb.contributor.internalauthor Král, Erik
utb.contributor.internalauthor Prokopová, Zdenka
utb.fulltext.affiliation Alena Košťálová, Erik Král, Zdenka Prokopová, Augusto Loureiro da Costa Faculty of Applied Informatics Tomas Bata University in Zlin Zlín, Czech Republic E-mail: kostalova@utb.cz LaR - Robotics Lab. Federal University of Bahia Salvador, Brazil
utb.fulltext.dates -
utb.fulltext.sponsorship This research was supported by the Internal Grant Agency of Tomas Bata University in Zlin under the project IGA/CebiaTech/2018/004.
utb.scopus.affiliation Faculty of Applied Informatics Tomas Bata, University in Zlin, Zlin, Czech Republic; LaR - Robotics Lab. Federal, University of BahiaSS, Salvador, Brazil
utb.fulltext.projects IGA/CebiaTech/2018/004
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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