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DSOMA-Discrete Self Organising Migrating Algorithm

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dc.title DSOMA-Discrete Self Organising Migrating Algorithm en
dc.contributor.author Davendra, Donald David
dc.contributor.author Zelinka, Ivan
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Self-Organizing Migrating Algorithm: Methodology and Implementation
dc.identifier.issn 1860-949X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-28161-2
dc.identifier.isbn 978-3-319-28159-9
dc.date.issued 2016
utb.relation.volume 626
dc.citation.spage 51
dc.citation.epage 63
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag Berlin
dc.identifier.doi 10.1007/978-3-319-28161-2_2
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-28161-2_2
dc.description.abstract A discrete Self Organising Migrating Algorithm (DSOAM) is described in this chapter. This variant is specifically designed for the permutative based combinatorial optimisation problem, where the problem domain in generally NP-Hard. Specific sampling between individuals in the search space is introduced as a means of constructing new feasible individuals. These feasible solutions are improved using 2-Opt routines. DSOMA has proven successful in solving manufacturing scheduling and assignment problems. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006464
utb.identifier.obdid 43876344
utb.identifier.scopus 2-s2.0-84957548762
utb.identifier.wok 000371478200004
utb.source d-wok
dc.date.accessioned 2016-07-26T14:58:35Z
dc.date.available 2016-07-26T14:58:35Z
utb.identifier.utb-sysno 87694
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Donald Davendra, Ivan Zelinka, Michal Pluhacek, Roman Senkerik Department of Computer Science, Central Washington University, 400 E. University Way, Ellensburg, WA 98926-7520, USA e-mail: DonaldD@cwu.edu; donald.davendra@vsb.cz Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. Listopadu 15, 708 33 Ostrava-Pomba, Czech Republic e-mail: ivan.zelinka@vsb.cz Department of Informatics and Artificial Intelligence, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stráněmi 4511, 76005 Zlin, Czech Republic e-mail: pluhacek@fai.utb.cz, e-mail: senkerik@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Informatics and Artificial Intelligence
utb.fulltext.ou Department of Informatics and Artificial Intelligence
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