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master's thesis
Genetski algoritmi i primjene
Zagreb: University of Zagreb, Faculty of Science, 2015. urn:nbn:hr:217:402481
Droždjek, Tomislav
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Droždjek, T. (2015). Genetski algoritmi i primjene (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:402481

Droždjek, Tomislav. "Genetski algoritmi i primjene." Master's thesis, University of Zagreb, Faculty of Science, 2015. https://urn.nsk.hr/urn:nbn:hr:217:402481

Droždjek, Tomislav. "Genetski algoritmi i primjene." Master's thesis, University of Zagreb, Faculty of Science, 2015. https://urn.nsk.hr/urn:nbn:hr:217:402481

Droždjek, T. (2015). 'Genetski algoritmi i primjene', Master's thesis, University of Zagreb, Faculty of Science, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:402481

Droždjek T. Genetski algoritmi i primjene [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2015 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:217:402481

T. Droždjek, "Genetski algoritmi i primjene", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:217:402481

Metadata
TitleGenetski algoritmi i primjene
AuthorTomislav Droždjek
MentorNela Bosner (mentor)
Committee memberNela Bosner (predsjednik povjerenstva)
Committee memberZvonimir Bujanović (član povjerenstva)
Committee memberVjeran Hari (član povjerenstva)
Committee memberMiljenko Marušić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2015-02-26, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Ovaj rad sastoji se od 2 dijela. U prvom dijelu fokus je na definiranju općih pojmova vezanih uz evolucijske algoritme te nekim važnim zapažanjima vezanim uz njihov rad. Nakon toga, koncentriramo se na genetske algoritme, detaljno opisujemo sve bitne dijelove genetskih algoritama, opisujemo njihovu funkciju, način implementacije te navodimo za koje je probleme svaka od tih implementacija najpogodnija. Drugi dio ovog rada fokusira se na demonstraciju rada genetskih algoritama pomoću biomorfa. U ovom dijelu primijenit ćemo genetski algoritam na rješavanje raznih problema iz prostora biomorfa. Koristit ćemo razne kombinacije parametara genetskih algoritama te u ovisnosti o kompleksnosti problema proučiti kako oni utječu na izvedbu samog algoritma.
Abstract (english)
This work consists of 2 major parts. In the first part, the focus is on defining key concepts of evolutionary algorithms, making some important observations regarding the way they obtain solutions and the way they function in general. Subsequently, genetic algorithms are studied in more detail, all their parts are thoroughly described, as well as their role in the algorithm itself. Also, different implementations suitable for various problems are described. In the second part, an example genetic algorithm is applied to different problems from the biomorph space, varying in difficulty and complexity. The algorithm is executed with various parameters, and the obtained results are used in order to study how the algorithm solves diverse problems depending on the chosen parameters.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:402481
Study programmeTitle: Applied Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-01-09 11:48:01