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Introducing self-adaptive parameters to Self-Organizing Migrating Algorithm

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dc.title Introducing self-adaptive parameters to Self-Organizing Migrating Algorithm en
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.relation.ispartof 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
dc.identifier.isbn 9781728121536
dc.date.issued 2019
dc.citation.spage 2908
dc.citation.epage 2914
dc.event.title 2019 IEEE Congress on Evolutionary Computation, CEC 2019
dc.event.location Wellington
utb.event.state-en New Zealand
utb.event.state-cs Nový Zéland
dc.event.sdate 2019-06-10
dc.event.edate 2019-06-13
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/CEC.2019.8790283
dc.relation.uri https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8790283
dc.subject adaptation en
dc.subject CEC17 en
dc.subject Friedman en
dc.subject SOMA en
dc.description.abstract In this paper, a new modification for a modern and popular optimization Self Organizing Migrating Algorithm (SOMA) is presented. SOMA resembles swarm-based algorithms together with mutation process given by perturbation and self-adaptation of individual's migration over the hyperspace of a given optimized solution. However, the quality of the solution found by SOMA strongly depends on user-defined parameters. This is not problematic only for new users, but sometimes for experts as well. The proposed modification allows individual (solution) to change its parameters based on its actual performance and adapts to specific optimization problems. The recent CEC'17 benchmark suite is used for analyzing an original SOMA and performance testing of a proposed SOMA modification. The results are compared and tested for statistical significance. © 2019 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009106
utb.identifier.scopus 2-s2.0-85071320172
utb.source d-scopus
dc.date.accessioned 2019-09-19T07:56:17Z
dc.date.available 2019-09-19T07:56:17Z
utb.contributor.internalauthor Kadavý, Tomáš
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, 760 01, Czech Republic
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