PRIMJENA GENETSKIH ALGORITAMA

Ivković, Ivan

prikaz prve stranice dokumenta PRIMJENA GENETSKIH ALGORITAMA

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master's thesis

PRIMJENA GENETSKIH ALGORITAMA

Šibenik: Polytechnic of Sibenik, 2021. urn:nbn:hr:143:365662

Ivković, Ivan

Šibenik University of Applied Sciences
Management

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APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

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

Harvard

Ivković, I. (2021). 'PRIMJENA GENETSKIH ALGORITAMA', Master's thesis, Šibenik University of Applied Sciences, accessed 09 November 2024, https://urn.nsk.hr/urn:nbn:hr:143:365662

Vancouver

Ivković I. PRIMJENA GENETSKIH ALGORITAMA [Master's thesis]. Šibenik: Šibenik University of Applied Sciences; 2021 [cited 2024 November 09] Available at: https://urn.nsk.hr/urn:nbn:hr:143:365662

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:143:365662

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Metadata

Title	PRIMJENA GENETSKIH ALGORITAMA
Title (english)	APPLICATION OF GENETIC ALGORITHMS
Author	Ivan Ivković
Mentor	Želimir Mikulić (mentor)
Committee member	Ana Vukičević (predsjednik povjerenstva)
Committee member	Ivana Beljo (član povjerenstva)
Committee member	Želimir Mikulić (član povjerenstva)
Granter	Šibenik University of Applied Sciences (Management) Šibenik
Defense date and country	2021-10-12, 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)
Language	croatian
URN:NBN	urn:nbn:hr:143:365662
Study programme	Title: Management Study programme type: professional Study level: specialist graduate Academic / professional title: stručni/a specijalist/specijalistica menadžmenta (stručni/a specijalist/specijalistica menadžmenta)
Type of resource	Text
File origin	Born digital
Access conditions	Access restricted to students and staff of home institution
Terms of use
Repository	VUS REPOSITORY
Created on	2021-10-13 09:16:13