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master's thesis
Primjena prirodom inspiriranih optimizacijskih algoritama na kombinatorne probleme
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:041142
Kujundžić, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kujundžić, F. (2021). Primjena prirodom inspiriranih optimizacijskih algoritama na kombinatorne probleme (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:041142

Kujundžić, Filip. "Primjena prirodom inspiriranih optimizacijskih algoritama na kombinatorne probleme." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:041142

Kujundžić, Filip. "Primjena prirodom inspiriranih optimizacijskih algoritama na kombinatorne probleme." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:041142

Kujundžić, F. (2021). 'Primjena prirodom inspiriranih optimizacijskih algoritama na kombinatorne probleme', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:041142

Kujundžić F. Primjena prirodom inspiriranih optimizacijskih algoritama na kombinatorne probleme [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:041142

F. Kujundžić, "Primjena prirodom inspiriranih optimizacijskih algoritama na kombinatorne probleme", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:041142

Metadata
TitlePrimjena prirodom inspiriranih optimizacijskih algoritama na kombinatorne probleme
Title (english)Application of Nature-Inspired Optimization Algorithms to Combinatorial Problems
AuthorFilip Kujundžić
MentorTomislav Burić (mentor)
Committee memberTomislav Burić (predsjednik povjerenstva)
Committee memberMario Krnić (član povjerenstva)
Committee memberLenka Mihoković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-06-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kombinatorni su problemi danas prisutni u mnogim znanstvenim područjima. Njihovo rješavanje tradicionalnim algoritmima nije moguće zbog kombinatorne eksplozije, te se neprestano traže novi pristupi u rješavanju istih. Jedna skupina takvih algoritama su prirodom inspirirani optimizacijski algoritmi. Glavna ideja njihovog pristupa je oponašanje načina na koji se jedinke kreću u prirodi te preslikavanje istog u pretraživanju prostora za optimalnim ili dovoljno dobrim rješenjima. Cilj rada je analizirati prirodom inspirirane optimizacijske algoritme i njihovu primjenu na klasične kombinatorne probleme.
Abstract (english)
Combinatorial problems are present in many scientific fields today. Their solution by traditional algorithms is not possible due to the combinatorial explosion, and new approaches in solving them are constantly being sought. One group of such algorithms are nature-inspired optimization algorithms. The main idea of their approach is to imitate the way individuals move in nature and to map the same in searching for space for optimal or good enough solutions. The aim of this paper is to analyze nature - inspired optimization algorithms and their application to classical combinatorial problems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:041142
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
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Created on2023-01-13 10:13:38