prikaz prve stranice dokumenta PRIMJENA GENETSKIH ALGORITAMA
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master's thesis
PRIMJENA GENETSKIH ALGORITAMA
2021. urn:nbn:hr:143:365662
Ivković, Ivan
Šibenik University of Applied Sciences
Management

Cite this document

Ivković, I. (2021). PRIMJENA GENETSKIH ALGORITAMA (Master's thesis). Šibenik: Šibenik University of Applied Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:143:365662

Ivković, Ivan. "PRIMJENA GENETSKIH ALGORITAMA." Master's thesis, Šibenik University of Applied Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:143:365662

Ivković, Ivan. "PRIMJENA GENETSKIH ALGORITAMA." Master's thesis, Šibenik University of Applied Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:143:365662

Ivković, I. (2021). 'PRIMJENA GENETSKIH ALGORITAMA', Master's thesis, Šibenik University of Applied Sciences, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:143:365662

Ivković I. PRIMJENA GENETSKIH ALGORITAMA [Master's thesis]. Šibenik: Šibenik University of Applied Sciences; 2021 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:143:365662

I. Ivković, "PRIMJENA GENETSKIH ALGORITAMA", Master's thesis, Šibenik University of Applied Sciences, Šibenik, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:143:365662

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Metadata
TitlePRIMJENA GENETSKIH ALGORITAMA
Title (english)APPLICATION OF GENETIC ALGORITHMS
AuthorIvan Ivković
MentorŽelimir Mikulić (mentor)
Committee memberAna Vukičević (predsjednik povjerenstva)
Committee memberIvana Beljo (član povjerenstva)
Committee memberŽelimir Mikulić (član povjerenstva)
GranterŠibenik University of Applied Sciences
(Management)
Šibenik
Defense date and country2021-10-12, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract
Tema ovoga rada je primjena genetskih algoritama na primjeru rasporeda u akademskoj ustanovi. Genetski algoritmi su insprirani teorijom evolucije, a temelje se na heurističkom pristupu traženja rješenja. Kako bi došli do rješenja, korišten je alat Evolver koji je posebno namijenjen i podešen za genetske algoritme. Cilj koji je postavljen i naposljetku zadovoljen je zadovoljiti sve uvjete koji se postave u modelu, odnosno zadovoljiti sva ograničenja i omogućiti svim korisnicima efikasan raspored.
Abstract (english)
The topic of this paper is the application of genetic algorithms on the example of schedules in an academic institution. Genetic algorithms are inspired by the theory of evolution, and are based on a heuristic approach to finding solutions. To come up with a solution, the Evolver tool was used which is specifically designed and tuned for genetic algorithms. The goal that is set and ultimately satisfied is to meet all the conditions set in the model, or to meet all the constraints and provide all users with an efficient schedule.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:143:365662
Study programmeTitle: Management
Study programme type: professional
Study level: specialist graduate
Academic / professional title: stručni/a specijalist/specijalistica menadžmenta (stručni/a specijalist/specijalistica menadžmenta)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-13 09:16:13