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undergraduate thesis
Izrada rasporeda laboratorijskih vježbi
2023. urn:nbn:hr:168:180780
Pankretić, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Pankretić, F. (2023). Izrada rasporeda laboratorijskih vježbi (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:180780

Pankretić, Filip. "Izrada rasporeda laboratorijskih vježbi." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:180780

Pankretić, Filip. "Izrada rasporeda laboratorijskih vježbi." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:180780

Pankretić, F. (2023). 'Izrada rasporeda laboratorijskih vježbi', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:180780

Pankretić F. Izrada rasporeda laboratorijskih vježbi [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 August 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:180780

F. Pankretić, "Izrada rasporeda laboratorijskih vježbi", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:180780

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Metadata
TitleIzrada rasporeda laboratorijskih vježbi
Title (english)Laboratory Exercise Scheduling
AuthorFilip Pankretić
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberFran Jelenić (član povjerenstva)
Committee memberFilip Karlo Došilović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Genetski algoritmi primjenjivi su na širok spektar problema, a izrada rasporeda sati jedan je od konkretnih i primjenjivih problema. U sklopu ovog rada opisan je rad generacijskog genetskog algoritma s mogućim rješenjima raznih operatora potrebnih za rad algoritma. Uspoređeni su utjecaji različitih konfiguracija i rezultata dobivenih iz provedenih eksperimenata kako bi se ispitala kvaliteta generiranih rasporeda. Usporedbom rezultata odabrana je konfiguracija koja je predložena kao konačno rješenje problema.
Abstract (english)
Genetic algorithms are applicable to a wide range of problems, and class scheduling is one of concrete and applicable problems. As part of this paper, the operation of the generational genetic algorithm is described with the possible solutions of various operators required for the operation of the algorithm. The effects of different configurations and the results obtained from the conducted experiments were compared in order to examine the quality of the generated schedules. By comparing the results, the configuration that was proposed as the final solution to the problem was selected.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:180780
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 09:59:35