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dc.title | Self-Organizing Migrating Algorithm with non-binary perturbation | en |
dc.contributor.author | Pluháček, Michal | |
dc.contributor.author | Šenkeřík, Roman | |
dc.contributor.author | Viktorin, Adam | |
dc.contributor.author | Kadavý, Tomáš | |
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 | 43 | |
dc.citation.epage | 57 | |
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_5 | |
dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-030-37838-7_5 | |
dc.subject | perturbation | en |
dc.subject | repulsivity | en |
dc.subject | self-organizing migrating algorithm | en |
dc.subject | SOMA | en |
dc.description.abstract | The self-organizing migrating algorithm (SOMA) is a popular population base metaheuristic. One of its key mechanisms is a perturbation of the individual movement with a binary-valued perturbation (PRT) vector. The goal of perturbation is to improve the diversity of the population and exploration of the search space. In this paper, we study a variant of the SOMA algorithm with non-binary PRT vector. We investigate the effect of introducing a third possible value, a negative (repulsive) element, into the PRT vector. The aim is to slow the population convergence and prolong the exploration phase. The inspiration is taken from previous successful implementations of repulsive mechanics in another swarm-based method: the Particle Swarm Optimization. © Springer Nature Switzerland AG 2020. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1009557 | |
utb.identifier.obdid | 43881276 | |
utb.identifier.scopus | 2-s2.0-85078415653 | |
utb.source | d-scopus | |
dc.date.accessioned | 2020-02-11T10:07:39Z | |
dc.date.available | 2020-02-11T10:07:39Z | |
utb.ou | CEBIA-Tech | |
utb.contributor.internalauthor | Pluháček, Michal | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.contributor.internalauthor | Viktorin, Adam | |
utb.contributor.internalauthor | Kadavý, Tomáš | |
utb.fulltext.affiliation | Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek,senkerik,aviktorin,kadavy}@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 | Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam 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 | |
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 |