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Boundary strategies for Self-Organizing Migrating Algorithm analyzed using CEC'17 Benchmark
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| dc.title | Boundary strategies for Self-Organizing Migrating Algorithm analyzed using CEC'17 Benchmark | en |
| dc.contributor.author | Kadavý, Tomáš | |
| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.contributor.author | Viktorin, Adam | |
| 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 | 58 | |
| dc.citation.epage | 69 | |
| 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_6 | |
| dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-030-37838-7_6 | |
| dc.subject | boundary | en |
| dc.subject | CEC17 | en |
| dc.subject | Friedman rank test | en |
| dc.subject | self-organizing migrating algorithm | en |
| dc.subject | SOMA | en |
| dc.description.abstract | This paper is focused on the influence of boundary strategies for the popular swarm-intelligence based optimization algorithm: Self-organizing Migrating Algorithm (SOMA). A similar extensive study was already performed for the most famous representative of swarm-based algorithm, which is Particle Swarm Optimization (PSO), and showed the importance of related research for other swarm-based techniques, like SOMA. The current CEC'17 benchmark suite is used for the performance comparison of the case studies, and the results are compared and tested for statistical significance using the Friedman Rank test. © Springer Nature Switzerland AG 2020. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1009558 | |
| utb.identifier.obdid | 43880945 | |
| utb.identifier.scopus | 2-s2.0-85078397743 | |
| 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 | Kadavý, Tomáš | |
| utb.contributor.internalauthor | Pluháček, Michal | |
| utb.contributor.internalauthor | Šenkeřík, Roman | |
| utb.contributor.internalauthor | Viktorin, Adam | |
| utb.fulltext.affiliation | Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin Tomas Bata University in Zlin, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {kadavy,pluhacek,senkerik,aviktorin}@utb.cz | |
| 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/2019/002. 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), and Action IC1406, High-Performance Modelling, and Simulation for Big Data Applications (cHiPSet). 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.scopus.affiliation | Tomas Bata University in Zlin, T.G. Masaryka 5555, Zlin, 760 01, Czech Republic | |
| 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/2019/002 | |
| utb.fulltext.projects | CA15140 | |
| utb.fulltext.projects | ImAppNIO | |
| utb.fulltext.projects | IC1406 | |
| utb.fulltext.projects | cHiPSet |
