Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek Department of Software Engineering Chair of Programming Languages and Systems
Cite this document
Licht, B. (2024). Prilagodljiva kontrola raznolikosti pomoću genetskog algoritma s dvostrukom populacijom (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:200:108292
Licht, Bruno. "Prilagodljiva kontrola raznolikosti pomoću genetskog algoritma s dvostrukom populacijom." 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:200:108292
Licht, Bruno. "Prilagodljiva kontrola raznolikosti pomoću genetskog algoritma s dvostrukom populacijom." 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:200:108292
Licht, B. (2024). 'Prilagodljiva kontrola raznolikosti pomoću genetskog algoritma s dvostrukom populacijom', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 26 October 2024, https://urn.nsk.hr/urn:nbn:hr:200:108292
Licht B. Prilagodljiva kontrola raznolikosti pomoću genetskog algoritma s dvostrukom populacijom [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2024 October 26] Available at: https://urn.nsk.hr/urn:nbn:hr:200:108292
B. Licht, "Prilagodljiva kontrola raznolikosti pomoću genetskog algoritma s dvostrukom populacijom", 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:200:108292