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undergraduate thesis
Primjena evolucijskih algoritama u bioinformatici
2020. urn:nbn:hr:168:956256
Okanović, Patrik
University of Zagreb
Faculty of Electrical Engineering and Computing

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Okanović, P. (2020). Primjena evolucijskih algoritama u bioinformatici (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:956256

Okanović, Patrik. "Primjena evolucijskih algoritama u bioinformatici." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:956256

Okanović, Patrik. "Primjena evolucijskih algoritama u bioinformatici." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:956256

Okanović, P. (2020). 'Primjena evolucijskih algoritama u bioinformatici', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:956256

Okanović P. Primjena evolucijskih algoritama u bioinformatici [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:956256

P. Okanović, "Primjena evolucijskih algoritama u bioinformatici", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:956256

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Metadata
TitlePrimjena evolucijskih algoritama u bioinformatici
Title (english)Applications of evolutionary algorithms in bioinformatics
AuthorPatrik Okanović
MentorMarin Golub (mentor)
Committee memberMarin Golub (predsjednik povjerenstva)
Committee memberKarlo Knežević (član povjerenstva)
Committee memberIva Jurković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu dan je uvod u evolucijsko računarstvo i genetski algoritam. Opisani su optimizacijski problemi iz bioinformatike. Koristeći Evolutionary Computation Framework genetskim algoritmom pristupilo se problemu poravnanja više sljedova odjednom. Pokazani su nedostaci primjene genetskog algoritma na danome problemu te je ispitana ovisnost o vjerojatnostima operatora mutacije.
Abstract (english)
In this paper an intro to evolutionary computing and genetic algorithm is given. Optimization problems from bionformatics are described. The problem of multiple sequence alignment is solved with genetic algorithm in Evolutionary Computation Framework. Flaws of genetic algorithm are stated on the given problem and the relationship between the probabilities of mutation operators and the quality of solution is estimated.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:956256
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 on2023-01-13 15:44:29