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DISH-XX solving CEC2020 single objective bound constrained numerical optimization benchmark

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dc.title DISH-XX solving CEC2020 single objective bound constrained numerical optimization benchmark en
dc.contributor.author Viktorin, Adam
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Zamuda, Aleš
dc.relation.ispartof 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings
dc.identifier.isbn 978-1-72816-929-3
dc.date.issued 2020
dc.event.title 2020 IEEE Congress on Evolutionary Computation, CEC 2020
dc.event.location Glasgow
utb.event.state-en United Kingdom
utb.event.state-cs Spojené království
dc.event.sdate 2020-07-19
dc.event.edate 2020-07-24
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/CEC48606.2020.9185633
dc.relation.uri https://ieeexplore.ieee.org/document/9185633
dc.subject benchmark en
dc.subject CEC2020 en
dc.subject competition en
dc.subject crossover en
dc.subject Differential Evolution en
dc.subject DISH en
dc.subject DISH-XX en
dc.description.abstract This paper proposes a competitor to the CEC2020 single objective bound constrained numerical optimization competition - DISH-XX. The DISH-XX algorithm is based on its 2019 predecessor DISH. The main difference lies in the secondary crossover with the archive of historically best-found solutions. The results of the DISH-XX algorithm are presented in the competition specified format and the statistical comparison between DISH-XX and the original DISH is also presented as part of this paper. © 2020 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009949
utb.identifier.obdid 43882136
utb.identifier.scopus 2-s2.0-85092044789
utb.identifier.wok 000703998201023
utb.source d-scopus
dc.date.accessioned 2020-10-23T10:40:52Z
dc.date.available 2020-10-23T10:40:52Z
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/2020/001]; COST (European Cooperation in Science Technology) [CA15140]; A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin
utb.ou CEBIA-Tech
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Kadavý, Tomáš
utb.fulltext.affiliation 1st Adam Viktorin, 2nd Roman Senkerik, 3rd Michal Pluhacek, 4th Tomas Kadavy, 5th Aleš Zamuda Faculty of Applied Informatics Tomas Bata University in Zlin T. G. Masaryka 5555, 760 01 Zlin, Czech Republic aviktorin@utb.cz Faculty of Applied Informatics Tomas Bata University in Zlin T. G. Masaryka 5555, 760 01 Zlin, Czech Republic senkerik@utb.cz Faculty of Applied Informatics Tomas Bata University in Zlin T. G. Masaryka 5555, 760 01 Zlin, Czech Republic pluhacek@utb.cz Faculty of Applied Informatics Tomas Bata University in Zlin T. G. Masaryka 5555, 760 01 Zlin, Czech Republic kadavy@utb.cz Faculty of Electrical Engineering and Computer Science University of Maribor Koroška cesta 46, 2000 Maribor, Slovenia ales.zamuda@um.si
utb.fulltext.dates -
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/2020/001. 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). 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 [Viktorin, Adam; Senkerik, Roman; Pluhacek, Michal; Kadavy, Tomas] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic; [Zamuda, Ales] Univ Maribor, Fac Elect Engn & Comp Sci, Koroska Cesta 46, Maribor 2000, Slovenia
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Zlin, T. G Masaryka, 5555, Czech Republic; University of Maribor, Faculty of Electrical Engineering and Computer Science, Koroška cesta 46, Maribor, 2000, Slovenia
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/2020/001
utb.fulltext.projects CA15140
utb.fulltext.projects ImAppNIO
utb.fulltext.faculty Faculty of Applied Informatics
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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