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undergraduate thesis
Optimizacija evolucijskim učenjem
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:105252
Užarević, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Užarević, J. (2015). Optimizacija evolucijskim učenjem (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:105252

Užarević, Josip. "Optimizacija evolucijskim učenjem." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:105252

Užarević, Josip. "Optimizacija evolucijskim učenjem." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:105252

Užarević, J. (2015). 'Optimizacija evolucijskim učenjem', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:105252

Užarević J. Optimizacija evolucijskim učenjem [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:105252

J. Užarević, "Optimizacija evolucijskim učenjem", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:105252

Metadata
TitleOptimizacija evolucijskim učenjem
Title (english)Optimization by learnable evolution
AuthorJosip Užarević
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarko Đurasević (član povjerenstva)
Committee memberDomagoj Alagić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad uvodi u problematiku optimizacije funkcije te obrađuje genetske algoritme i algoritme strojnog učenja. Opisuju se osnovni koncepti pri radu sa strojnim učenjem te osnovne genetske operacije koje se koriste kod genetskih algoritama. Obrađen je algoritam LEM, kao okvir za izmjenično korištenje strojnog učenja i genetskog algoritma. Obrađene su optimizacijske funkcije te su opisane specifičnosti vezane za svaku od njih. Opisani su implementacijski detalji razvijene aplikacije te je provedena analiza nad algoritmima i funkcijama u vidu usporedbe rada LEM-a i rada genetskog algoritma.
Abstract (english)
This work describes the problem of function optimization and processes genetic algorithms and machine learning algorithms. It describes the basic concepts concerning machine learning and basic genetic operations used in genetic algorithms. Algorithm LEM is described and explored as a framework for the alternating use of machine learning and genetic algorithm. The work discusses the optimization functions and describes the specific circumstances relating to each of them. Implementation details of developed application are described as well as the analysis of algorithms and functions in a comparison of the LEM and a genetic algorithm.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:105252
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 14:14:31