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master's thesis
Sortiranje objekata više atributnim kriterijima uporabom genetskih algoritama
2024. urn:nbn:hr:200:551727
Balko Macsai, Zoltan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

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Balko Macsai, Z. (2024). Sortiranje objekata više atributnim kriterijima uporabom genetskih algoritama (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:551727

Balko Macsai, Zoltan. "Sortiranje objekata više atributnim kriterijima uporabom genetskih algoritama." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:551727

Balko Macsai, Zoltan. "Sortiranje objekata više atributnim kriterijima uporabom genetskih algoritama." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:551727

Balko Macsai, Z. (2024). 'Sortiranje objekata više atributnim kriterijima uporabom genetskih algoritama', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 22 February 2025, https://urn.nsk.hr/urn:nbn:hr:200:551727

Balko Macsai Z. Sortiranje objekata više atributnim kriterijima uporabom genetskih algoritama [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 February 22] Available at: https://urn.nsk.hr/urn:nbn:hr:200:551727

Z. Balko Macsai, "Sortiranje objekata više atributnim kriterijima uporabom genetskih algoritama", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:551727

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Metadata
TitleSortiranje objekata više atributnim kriterijima uporabom genetskih algoritama
Title (english)Multiple attribute criteria object sorting with genetic algorithms
AuthorZoltan Balko Macsai
MentorDamir Blažević (mentor)
MentorTomislav Keser (sumentor)
Committee memberDamir Blažević (predsjednik povjerenstva)
Committee memberKrešimir Nenadić (član povjerenstva)
Committee memberIvica Lukić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2024-10-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovom diplomskom radu obrađena je problematika gubitaka električne energije zbog nesklada fotonaponskih ćelija. Razrađene su karakteristike fotonaponski ćelija i također kako se izračunavaju gubitci nastali zbog nesklada fotonaponskih ćelija. Objašnjena je uloga i funkcionalnost genetskih algoritama. Razvijen je genetski algoritam, u programskom jeziku Python, za grupiranje i sortiranje solarnih panelima, koristeći matematičku analitiku i karakteristike solarnih panela. Osim genetskog algoritma izrađen je temeljiti ispis izlaznih podataka i rezultata. Napravljena je analiza grupiranih podataka sortiranih genetskim algoritmom. U analizi se pokazalo da su različiti ulazni parametri dali različite i bolje odnosno lošije rezultate.
Abstract (english)
This final thesis addresses the issue of mismatch loss of power in photovoltaic cells. The characteristics of a photovoltaic cell are described. Also, it is described how to calculate the mismatch losses caused by connected photovoltaic cells. The role and functionality of genetic algorithms are explained. Using Python, a genetic algorithm was developed for grouping and sorting solar panels, using mathematical analysis and the characteristics of the solar panels. In addition to the genetic algorithm, a thorough printout of the output data was created. An analysis was performed on the grouped data sorted by the genetic algorithm. In the analysis it is shown that different entry parameters created different and better or worse results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:551727
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka računarstva (sveučilišni/a magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-31 08:04:36