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master's thesis
Pregled, analiza i primjena odabranih prirodom inspiriranih metaheurističkih algoritama
Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka, 2021. urn:nbn:hr:187:421968
Marušić, Marijan
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

Marušić, M. (2021). Pregled, analiza i primjena odabranih prirodom inspiriranih metaheurističkih algoritama (Master's thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:421968

Marušić, Marijan. "Pregled, analiza i primjena odabranih prirodom inspiriranih metaheurističkih algoritama." Master's thesis, University of Rijeka, Faculty of Maritime Studies, 2021. https://urn.nsk.hr/urn:nbn:hr:187:421968

Marušić, Marijan. "Pregled, analiza i primjena odabranih prirodom inspiriranih metaheurističkih algoritama." Master's thesis, University of Rijeka, Faculty of Maritime Studies, 2021. https://urn.nsk.hr/urn:nbn:hr:187:421968

Marušić, M. (2021). 'Pregled, analiza i primjena odabranih prirodom inspiriranih metaheurističkih algoritama', Master's thesis, University of Rijeka, Faculty of Maritime Studies, accessed 29 November 2024, https://urn.nsk.hr/urn:nbn:hr:187:421968

Marušić M. Pregled, analiza i primjena odabranih prirodom inspiriranih metaheurističkih algoritama [Master's thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies; 2021 [cited 2024 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:187:421968

M. Marušić, "Pregled, analiza i primjena odabranih prirodom inspiriranih metaheurističkih algoritama", Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:187:421968

Metadata
TitlePregled, analiza i primjena odabranih prirodom inspiriranih metaheurističkih algoritama
Title (english)Overview, analysis and application of selected nature-inspired metaheuristic algorithms
AuthorMarijan Marušić
MentorMarko Gulić (mentor)
Committee memberJasmin Ćelić (predsjednik povjerenstva)
Committee memberAleksandar Cuculić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies
(Department of Marine Electronics and Communications)
Rijeka
Defense date and country2021-10-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
U ovom diplomskom radu napravljen je pregled i komparativna analiza odabranih aktualnih prirodom inspiriranih metaheurističkih algoritama te njihova primjena na logističkim problemima unutar lučkog kontejnerskog terminala. Detaljno su predstavljeni sljedeći prirodom inspirirani metaheuristički algoritmi: algoritam optimizacije kolonijom mrava, algoritam umjetne kolonije pčela, algoritam krijesnica, algoritam šišmiša, algoritam afričkog bizona te genetski algoritam kao preteča svih prirodom inspiriranih metaheurističkih algoritama. Također, predstavljena je komparativna analiza ovih algoritama kroz problem trgovačkog putnika koji jedan je od najpopularnijih optimizacijskih problema. Nadalje, predstavljena je primjena prirodom inspiriranih metaheurističkih algoritama na raznim logističkim problemima unutar lučkog kontejnerskog terminala.
Abstract (english)
In this diploma thesis, an overview and comparative analysis of selected current nature - inspired metaheuristic algorithms are made as well as their application to logistical problems within the port container terminal. The following nature-inspired metaheuristic algorithms are presented in detail: Ant colony optimization algorithm, Artificial bee colony algorithm, Firefly algorithm, Bat algorithm, African bison algorithm and Genetic algorithm which is a precursor of all nature-inspired metaheuristic algorithms. Also, a comparative analysis of these algorithms is made through the Travel salesman problem which is one of the most popular optimization problems. Furthermore, the application of nature-inspired metaheuristic algorithms to various logistical problems within a port container terminal is presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:421968
Study programmeTitle: Marine Electronic Engineering and Information Technology - mag. ing. el.
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotroničke i informatičke tehnologije (magistar/magistra inženjer/inženjerka elektrotroničke 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 on2021-12-21 07:03:53