prikaz prve stranice dokumenta Genetski algoritam inspiriran kvantnom mehanikom
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undergraduate thesis
Genetski algoritam inspiriran kvantnom mehanikom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:432002
Fulir, Juraj
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Fulir, J. (2017). Genetski algoritam inspiriran kvantnom mehanikom (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:432002

Fulir, Juraj. "Genetski algoritam inspiriran kvantnom mehanikom." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:432002

Fulir, Juraj. "Genetski algoritam inspiriran kvantnom mehanikom." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:432002

Fulir, J. (2017). 'Genetski algoritam inspiriran kvantnom mehanikom', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:432002

Fulir J. Genetski algoritam inspiriran kvantnom mehanikom [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:432002

J. Fulir, "Genetski algoritam inspiriran kvantnom mehanikom", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:432002

Metadata
TitleGenetski algoritam inspiriran kvantnom mehanikom
Title (english)Genetic algorithm inspired by quantum mechanics
AuthorJuraj Fulir
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarko Đurasević (član povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je objasniti koncept pohrane i manipulacije podacima na kvantnim računalima, primjenu tih koncepata na genetski algoritam koji se izvršava na klasičnom računalu te implementaciju istog korištenjem programskog okvira za evolucijsko računanje (ECF). Algoritam je primijenjen na 3 različita problema (traženje minimuma, problem naprtnjače i regresija neuronske mreže). Rezultati ukazuju na primjenjivost algoritma u kombinatoričkoj optimizaciji s vrlo zahtjevnim evaluatorima.
Abstract (english)
The goal of this paper is to explain the concept of data storage and manipulation on quantum computers, applying those concepts on a genetic algorithm that executes on a classical computer and describing it's implementation using the Evolutionary Computation Framework (ECF). The algorithm was applied on 3 different problems (function minimum search, knapsack problem and regression of a neural network). The results indicate applicability of the algorithm in combinatorial optimization with highly demanding evaluators.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:432002
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 on2019-03-13 20:19:52