Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/14848
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dc.rights.licenseBY-NC-ND-
dc.contributor.authorRistic, Olga-
dc.contributor.authorMilunović Koprivica, Sandra-
dc.contributor.authorMilošević, Marjan-
dc.date.accessioned2022-09-13T10:10:12Z-
dc.date.available2022-09-13T10:10:12Z-
dc.date.issued2022-
dc.identifier.isbn9788677762629en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/14848-
dc.descriptionThis paper is supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, and these results are part of the Grant No. 451-03-68/2022-14/200132 with the University of Kragujevac-Faculty of Technical Sciences Čačak.en_US
dc.description.abstractSocial Human Behaviour algorithms are the next step in nature inspired algorithms development. In the past decade these are proved to be useful for various optimisation tasks. The paper provided a global preview of existing algorithms of this kind and focused on two specific algorithms, inspired by teaching and learning process: Teaching Learning Based Optimization and Group Teaching Optimisation algorithms. The algorithms' structure and flow are thoroughly explained and illustrated. A preview of algorithms' application is reported, based on the recent research. It is concluded that this kind of algorithms can be aplied in various industry areas and that further research in this field is reqired.en_US
dc.language.isoenen_US
dc.publisherUniversity of Kragujevac, Faculty od Technical Sciences, Čačaken_US
dc.relation.ispartofProceedings TIE 2022 9th International Scientific Conference Technics and Informatics in Educationen_US
dc.rightsopenAccess-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectTLBOen_US
dc.subjectGTOen_US
dc.subjectalgorithmen_US
dc.subjectteachingen_US
dc.subjectlearningen_US
dc.titleTeaching and learning inspired optimization algorithms: A reviewen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisheden_US
dc.identifier.doi10.46793/TIE22.302Ren_US
dc.relation.conference“Technics and Informatics in Education – TIE 2022”en_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Technical Sciences, Čačak

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