prikaz prve stranice dokumenta Raspoređivanje studenata uporabom evolucijskog računanja
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master's thesis
Raspoređivanje studenata uporabom evolucijskog računanja
2019. urn:nbn:hr:168:157956
Luttenberger, Leon
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Luttenberger, L. (2019). Raspoređivanje studenata uporabom evolucijskog računanja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:157956

Luttenberger, Leon. "Raspoređivanje studenata uporabom evolucijskog računanja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:157956

Luttenberger, Leon. "Raspoređivanje studenata uporabom evolucijskog računanja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:157956

Luttenberger, L. (2019). 'Raspoređivanje studenata uporabom evolucijskog računanja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 08 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:157956

Luttenberger L. Raspoređivanje studenata uporabom evolucijskog računanja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 February 08] Available at: https://urn.nsk.hr/urn:nbn:hr:168:157956

L. Luttenberger, "Raspoređivanje studenata uporabom evolucijskog računanja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:157956

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Metadata
TitleRaspoređivanje studenata uporabom evolucijskog računanja
Title (english)Evolutionary Computation Based Student Scheduling
AuthorLeon Luttenberger
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberŽeljka Mihajlović (član povjerenstva)
Committee memberDomagoj Jakobović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U svakodnevnom životu problemi raspoređivanja su vrlo česti i obično su visoke računske složenosti. Stoga su načini njihovog rješavanja od posebnog interesa. U okviru ovog rada implementiran je prototip programske implementacije sustava za raspoređivanja korisnika po radionicama koristeći genetski algoritam. Analiziran je utjecaj ponašanja algoritma u odnosu na različite konfiguracije parametara i heuristika. Pokazano je da razvijeni sustav uspješno raspoređuje korisnike po radionicama uz mogućnost konfiguracije raznih kriterija dobrote rasporeda.
Abstract (english)
Scheduling problems are very common in everyday life and are of high computational complexity. As such, the methods for solving such problems are of particular interest. This thesis presents a prototype implementation of a system for scheduling user attendance for workshops based on the genetic algorithm. Analysis is conducted to determine the influence of various configuration parameters and heuristics on the algorithm's behaviour. The developed system is then demonstrated to successfully schedule users, with the ability to configure the various scheduling criteria.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:157956
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2020-01-07 19:53:54