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undergraduate thesis
Implementacija, analiza i komparacija algoritma afričkog bizona i genetskog algoritma
Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka, 2019. urn:nbn:hr:187:861780
Šuver, Marko
University of Rijeka
Faculty of Maritime Studies
Department of Marine Electronics and Communications

Institutional repository: Repository of the University of Rijeka, Faculty of Maritime Studies - FMSRI Repository

Cite this document

Šuver, M. (2019). Implementacija, analiza i komparacija algoritma afričkog bizona i genetskog algoritma (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:861780

Šuver, Marko. "Implementacija, analiza i komparacija algoritma afričkog bizona i genetskog algoritma." Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, 2019. https://urn.nsk.hr/urn:nbn:hr:187:861780

Šuver, Marko. "Implementacija, analiza i komparacija algoritma afričkog bizona i genetskog algoritma." Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, 2019. https://urn.nsk.hr/urn:nbn:hr:187:861780

Šuver, M. (2019). 'Implementacija, analiza i komparacija algoritma afričkog bizona i genetskog algoritma', Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:187:861780

Šuver M. Implementacija, analiza i komparacija algoritma afričkog bizona i genetskog algoritma [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies; 2019 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:187:861780

M. Šuver, "Implementacija, analiza i komparacija algoritma afričkog bizona i genetskog algoritma", Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:187:861780

Metadata
TitleImplementacija, analiza i komparacija algoritma afričkog bizona i genetskog algoritma
Title (english)Implementation, analysis and comparison of the african buffalo algorithm and the genetic algorithm
AuthorMarko Šuver
MentorMarko Gulić (mentor)
Committee memberJasmin Ćelić (predsjednik povjerenstva)
Committee memberVinko Tomas (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies
(Department of Marine Electronics and Communications)
Rijeka
Defense date and country2019-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
U ovome radu bit će opisana, implementirana i analizirana dva metaheuristička algoritma inspirirana prirodom: algoritam afričkog bizona i genetski algoritam. Cilj rada je prikazati i pojasniti oba algoritma, njihov način djelovanja i objasniti skupinu problema za koji se isti primjenjuju. Implementacija oba algoritma napravljena je u proceduralnoj varijanti programskog jezika C++. Također, izvršena je i analiza oba algoritma na rješavanju problema određivanja četiriju brojeva čija suma daje broj koji je slučajnim odabirom generiran na početku procesa određivanja brojeva. Na kraju je izvršena komparacija algoritma afričkog bizona i genetskog algoritma s obzirom na rezultate spomenutog problema gdje je algoritam afričkog bizona ostvario bolje rezultate od genetskog algoritma.
Abstract (english)
In this paper, two nature-inspired metaheuristic algorithms, the African buffalo and the genetic algorithm, are described, implemented, and analysed. The focus of the paper is to present and explain both algorithms, how they work, and to explain the group of problems for which they can be applied. The implementation of both algorithms was made in the procedural variant of the C ++ programming language. Also, an analysis of both algorithms was performed to solve the problem of determining four numbers whose sum gives the number that was randomly generated at the beginning of the numbers' determination process. Finally, a comparison of the African buffalo algorithm and the genetic algorithm was made concerning the results of the aforementioned problem where the African buffalo algorithm achieved better results than the genetic algorithm.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:861780
Study programmeTitle: Marine Electronic Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektroničke i informatičke tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektroničke i informatičke tehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-12-18 06:56:23