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SOMA T3A for solving the 100-Digit Challenge

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dc.title SOMA T3A for solving the 100-Digit Challenge en
dc.contributor.author Diep, Quoc Bao
dc.contributor.author Zelinka, Ivan
dc.contributor.author Das, Swagatam
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Communications in Computer and Information Science
dc.identifier.issn 1865-0929 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783030378370
dc.date.issued 2020
utb.relation.volume 1092 CCIS
dc.citation.spage 155
dc.citation.epage 165
dc.event.title 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on Fuzzy and Neural Computing, FANCCO 2019
dc.event.location Maribor
utb.event.state-en Slovenia
utb.event.state-cs Slovinsko
dc.event.sdate 2019-07-10
dc.event.edate 2019-07-12
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer
dc.identifier.doi 10.1007/978-3-030-37838-7_14
dc.relation.uri https://link.springer.com/chapter/10.1007%2F978-3-030-37838-7_14
dc.subject Optimization function en
dc.subject Self-organizing migrating algorithm en
dc.subject SOMA T3A en
dc.subject Swarm intelligence en
dc.description.abstract In this paper, we address 10 basic test functions of the 100-Digit Challenge of the SEMCCO 2019 & FANCCO 2019 Competition by using team-to-team adaptive seft-organizing migrating algorithm - SOMA T3A with many improvements in the Organization, Migration, and Update process, as well as the linear adaptive PRT and the cosine-based adaptive Step. The results obtained from the algorithm on the 100-Digit Challenge are very promising with 93 points in total. © Springer Nature Switzerland AG 2020. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009562
utb.identifier.obdid 43881280
utb.identifier.scopus 2-s2.0-85078398456
utb.source d-scopus
dc.date.accessioned 2020-02-11T10:07:40Z
dc.date.available 2020-02-11T10:07:40Z
utb.ou CEBIA-Tech
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Quoc Bao Diep 1, Ivan Zelinka 1, Swagatam Das 2, Roman Senkerik 3 1 Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic diepquocbao@gmail.com, ivan.zelinka@vsb.cz 2 Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 Barrackpore Trunk Road, Kolkata, India swagatam.das@isical.ac.in 3 Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01 Zlin, Czech Republic senkerik@utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship The following grants are acknowledged for the financial support provided for this research: Grant of SGS No. SP2019/137, VSB-Technical University of Ostrava. This work was also 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.
utb.scopus.affiliation Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba, 708 00, Czech Republic; Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 Barrackpore Trunk Road, Kolkata, India; Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, Zlin, 760 01, Czech Republic
utb.fulltext.projects SP2019/137
utb.fulltext.projects LO1303
utb.fulltext.projects MSMT-7778/2014
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.faculty Faculty of Applied Informatics
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