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master's thesis
Primjena neparametarskih algoritama u optimizaciji
2015. urn:nbn:hr:168:400239
Budiselić, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Budiselić, M. (2015). Primjena neparametarskih algoritama u optimizaciji (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:400239

Budiselić, Marko. "Primjena neparametarskih algoritama u optimizaciji." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:400239

Budiselić, Marko. "Primjena neparametarskih algoritama u optimizaciji." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:400239

Budiselić, M. (2015). 'Primjena neparametarskih algoritama u optimizaciji', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 14 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:400239

Budiselić M. Primjena neparametarskih algoritama u optimizaciji [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 April 14] Available at: https://urn.nsk.hr/urn:nbn:hr:168:400239

M. Budiselić, "Primjena neparametarskih algoritama u optimizaciji", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:400239

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Metadata
TitlePrimjena neparametarskih algoritama u optimizaciji
Title (english)Application of nonparametric optimization algorithms
AuthorMarko Budiselić
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Neparametarskim algoritmima postiže se brža prilagodba algoritma konkretnom problemu, što je svakako prednost u odnosu na algoritme koji posjeduju neki skup parametara. S druge strane, neparametarski algoritmi obično su ograničeni na neki mali skup prikaza rješenja koji oni mogu izgenerirati. Ako se problem može jednostavno prikazati onim prikazom s kojim radi neki neparametarski algoritam onda svakao treba probati riješiti problem koristeći neparametarske algoritme. Ovim radom također se pokazuje da ne postoji algoritam koji bi idealno radio sa svim optimizacijskim problemima (engl. No free lunch theorem).
Abstract (english)
Nonparametric optimization algorithms could be faster adopted to the specific optimization problem then other optimization algorithms with some set of parameters. On the other hand, nonparametric optimization algorithms are limited on small set of genotypes. If a problem solution could be represented by a genotype supported by nonparametric optimization algorithm then that algorithm should be tested on that problem. Through this paper the no free lunch theorem is also confirmed because none of the researched algorithms produce the best results on all test problems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:400239
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 on2018-02-06 08:05:09