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dc.title | Utilising the chaos-induced discrete self organising migrating algorithm to schedule the lot-streaming flowshop scheduling problem with setup time | en |
dc.contributor.author | Davendra, Donald David | |
dc.contributor.author | Šenkeřík, Roman | |
dc.contributor.author | Zelinka, Ivan | |
dc.contributor.author | Pluháček, Michal | |
dc.contributor.author | Bialic-Davendra, Magdalena Lucyna | |
dc.relation.ispartof | Advances in Intelligent Systems and Computing | |
dc.identifier.issn | 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 9783319005416 | |
dc.date.issued | 2013 | |
utb.relation.volume | 210 | |
dc.citation.spage | 31 | |
dc.citation.epage | 45 | |
dc.type | article | |
dc.language.iso | en | |
dc.publisher | Springer | en |
dc.identifier.doi | 10.1007/978-3-319-00542-3_6 | |
dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-319-00542-3_6 | |
dc.description.abstract | The dissipative Lozi chaotic map is embedded in the Discrete Self Organising Migrating (DSOMA) algorithm, as a pseudorandom generator. This novel chaotic based algorithm is applied to the constraint based Lot-Streaming Flowshop scheduling problem. Two new and unique data sets generated using the Lozi and Dissipative maps are used to compare the chaos embedded DSOMA (DSOMAc) and the generic DSOMA utilising the venerableMersenne Twister. In total, 100 data sets were tested by the two algorithms, for the idling and the non-idling case. From the obtained results, the DSOMAc algorithm is shown to significantly improve the performance of generic DSOMA. © Springer International Publishing Switzerland 2013. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1003430 | |
utb.identifier.obdid | 43869943 | |
utb.identifier.scopus | 2-s2.0-84880357719 | |
utb.source | j-scopus | |
dc.date.accessioned | 2013-08-02T09:10:25Z | |
dc.date.available | 2013-08-02T09:10:25Z | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.contributor.internalauthor | Pluháček, Michal | |
utb.contributor.internalauthor | Bialic-Davendra, Magdalena Lucyna | |
utb.fulltext.affiliation | Donald Davendra, Roman Senkerik, Ivan Zelinka, Michal Pluhacek, and Magdalena Bialic-Davendra Donald Davendra · Ivan Zelinka VSB-Technical University of Ostrava, 17. listopadu 15 708 33, Ostrava-Poruba, Czech Republic e-mail: donald.davendra@vsb.cz Roman Senkerik Faculty of Applied Informatics, Tomas Bata University in Zlin e-mail: senkerik@fai.utb.cz Michal Pluhacek Faculty of Applied Informatics, Tomas Bata University in Zlin e-mail: pluhacek@fai.utb.cz Magdalena Bialic-Davendra Centre for Applied Economic Research, Tomas Bata University in Zlin e-mail: bialic@fame.utb.cz | |
utb.fulltext.dates | - | |
utb.fulltext.sponsorship | This work was supported by the Technology Agency of the Czech Republic under the Project TE01020197 and the Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2013/012. |