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master's thesis
Robusnost i višekriterijska optimizacija
Zagreb: University of Zagreb, Faculty of Science, 2025. urn:nbn:hr:217:165890
Tomašević, Antun
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Tomašević, A. (2025). Robusnost i višekriterijska optimizacija (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:165890

Tomašević, Antun. "Robusnost i višekriterijska optimizacija." Master's thesis, University of Zagreb, Faculty of Science, 2025. https://urn.nsk.hr/urn:nbn:hr:217:165890

Tomašević, Antun. "Robusnost i višekriterijska optimizacija." Master's thesis, University of Zagreb, Faculty of Science, 2025. https://urn.nsk.hr/urn:nbn:hr:217:165890

Tomašević, A. (2025). 'Robusnost i višekriterijska optimizacija', Master's thesis, University of Zagreb, Faculty of Science, accessed 22 March 2025, https://urn.nsk.hr/urn:nbn:hr:217:165890

Tomašević A. Robusnost i višekriterijska optimizacija [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2025 [cited 2025 March 22] Available at: https://urn.nsk.hr/urn:nbn:hr:217:165890

A. Tomašević, "Robusnost i višekriterijska optimizacija", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2025. Available at: https://urn.nsk.hr/urn:nbn:hr:217:165890

Metadata
TitleRobusnost i višekriterijska optimizacija
AuthorAntun Tomašević
MentorMarko Vrdoljak (mentor)
Committee memberMarko Vrdoljak (predsjednik povjerenstva)
Committee memberMarko Radulović (član povjerenstva)
Committee memberEduard Marušić-Paloka (član povjerenstva)
Committee memberIvana Šain Glibić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2025-02-26, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Ovaj rad istražuje koncepte robusnosti i višekriterijske optimizacije, analizirajući njihove teorijske osnove, međusobne relacije te primjenu u stvarnim sustavima. Robusnost omogućuje otpornost na nesigurnosti i promjene u sustavima, dok višekriterijska optimizacija omogućuje donošenje odluka uzimajući u obzir više ciljeva. Kroz definirane koncepte robusnosti naglašena je važnost otpornosti sustava na neizvjesnosti i promjene, dok su višekriterijske metode omogućile učinkovito rješavanje... More složenih problema s više ciljeva, često pod međusobno sukobljenim zahtjevima. Kombinacija ovih pristupa pokazala se kao ključna u postizanju stabilnih i optimalnih rješenja koja su prilagođena različitim uvjetima i ograničenjima. Kroz analizu različitih pristupa i primjera iz prakse, prikazane su prednosti i izazovi integracije ovih metoda. Dobiveni rezultati potvrđuju važnost balansiranja robusnosti i optimizacije za postizanje stabilnih i učinkovitih rješenja u dinamičnim okruženjima. Less
Abstract (english)
This paper explores the concepts of robustness and multi-objective optimization, analyzing their theoretical foundations, interrelations, and applications in real-world systems. Robustness ensures resilience against uncertainties and changes in systems, while multi-objective optimization enables decision-making by considering multiple objectives. Through the defined concepts of robustness, the importance of system resilience to uncertainties and variations is emphasized, while... More multi-objective methods provide effective solutions to complex problems involving multiple, often conflicting, objectives. The combination of these approaches has proven to be crucial in achieving stable and optimal solutions tailored to various conditions and constraints. Through the analysis of different approaches and practical examples, the advantages and challenges of integrating these methods are highlighted. The obtained results confirm the importance of balancing robustness and optimization to achieve stable and efficient solutions in dynamic environments. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:165890
Study programmeTitle: Financial and Business Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni magistar matematike (sveučilišni magistar matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) icon
Created on2025-02-11 18:10:09
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