prikaz prve stranice dokumenta Primjena genetskih algoritama
Access restricted to students and staff of home institution
undergraduate thesis
Primjena genetskih algoritama
2022. urn:nbn:hr:143:399132
Ljubić, Domagoj
Šibenik University of Applied Sciences
Management

Cite this document

Ljubić, D. (2022). Primjena genetskih algoritama (Undergraduate thesis). Šibenik: Šibenik University of Applied Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:143:399132

Ljubić, Domagoj. "Primjena genetskih algoritama." Undergraduate thesis, Šibenik University of Applied Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:143:399132

Ljubić, Domagoj. "Primjena genetskih algoritama." Undergraduate thesis, Šibenik University of Applied Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:143:399132

Ljubić, D. (2022). 'Primjena genetskih algoritama', Undergraduate thesis, Šibenik University of Applied Sciences, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:143:399132

Ljubić D. Primjena genetskih algoritama [Undergraduate thesis]. Šibenik: Šibenik University of Applied Sciences; 2022 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:143:399132

D. Ljubić, "Primjena genetskih algoritama", Undergraduate thesis, Šibenik University of Applied Sciences, Šibenik, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:143:399132

Please login to the repository to save this object to your list.
Metadata
TitlePrimjena genetskih algoritama
Title (english)APPLICATION OF GENETIC ALGORITHMS
AuthorDomagoj Ljubić
MentorŽelimir Mikulić (mentor)
Committee memberFrane Urem (predsjednik povjerenstva)
Committee memberMarko Pavelić (član povjerenstva)
Committee memberŽelimir Mikulić (član povjerenstva)
GranterŠibenik University of Applied Sciences
(Management)
Šibenik
Defense date and country2022-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
U ovom radu rješavamo problem rutiranja vozila pomoću genetskog algoritma. Rješenje je modelirano u Microsoft Excel tablici, optimizirano pomoću Large Scale SQP rješavača koristeći dodatak Analytic Solver. Proučavanje u ovom završnom radu je teorijske i primjenjenje prirode.
Abstract (english)
In this paper, we solve the vehicle routing problem with the help of a genetic algorithm. The solution is modeled in a Microsoft Excel spreadsheet, optimized with the Large Scale SQP engine using the Analytic Solver plugin. The study in this batchelor thesis is theoretical and applied practicaly.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:143:399132
Study programmeTitle: Professional undergraduate study of Bussines Informatics
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) poslovne informatike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) poslovne informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2022-09-27 07:12:32