SOMA T3A for solving the 100-Digit Challenge

Diep, Quoc Bao; Zelinka, Ivan; Das, Swagatam; Šenkeřík, Roman

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	978-3-03-037837-0
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/10.1007/978-3-030-37838-7_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 inÂ total. Â© 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