prikaz prve stranice dokumenta PRIMJENA GENETSKIH ALGORITAMA
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master's thesis
PRIMJENA GENETSKIH ALGORITAMA
2020. urn:nbn:hr:143:251273
Vidić, Marko
Polytechnic of Sibenik
Management

Cite this document

Vidić, M. (2020). PRIMJENA GENETSKIH ALGORITAMA (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:143:251273

Vidić, Marko. "PRIMJENA GENETSKIH ALGORITAMA." Master's thesis, Polytechnic of Sibenik, 2020. https://urn.nsk.hr/urn:nbn:hr:143:251273

Vidić, Marko. "PRIMJENA GENETSKIH ALGORITAMA." Master's thesis, Polytechnic of Sibenik, 2020. https://urn.nsk.hr/urn:nbn:hr:143:251273

Vidić, M. (2020). 'PRIMJENA GENETSKIH ALGORITAMA', Master's thesis, Polytechnic of Sibenik, accessed 17 March 2023, https://urn.nsk.hr/urn:nbn:hr:143:251273

Vidić M. PRIMJENA GENETSKIH ALGORITAMA [Master's thesis]. Šibenik: Polytechnic of Sibenik; 2020 [cited 2023 March 17] Available at: https://urn.nsk.hr/urn:nbn:hr:143:251273

M. Vidić, "PRIMJENA GENETSKIH ALGORITAMA", Master's thesis, Polytechnic of Sibenik, Šibenik, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:143:251273

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Metadata
TitlePRIMJENA GENETSKIH ALGORITAMA
Title (english)THE APPLICATION OF GENETIC ALGORITHMS
AuthorMarko Vidić
MentorŽelimir Mikulić (mentor)
Committee memberDivna Goleš (predsjednik povjerenstva)
Committee memberGina Lugović (član povjerenstva)
Committee memberŽelimir Mikulić (član povjerenstva)
GranterPolytechnic of Sibenik
(Management)
Šibenik
Defense date and country2020-10-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu koristimo genetski algoritam kako bi pokušali riješiti nelinearni problem odabira namirnica uz zadana ograničenja. Pokušavamo zadovoljiti sve zadane nutritivne vrijednosti dok u isto vrijeme nastojimo minimizirati funkciju cilja. Koristimo brojna dodatna ograničenja kako bi problem učinili nelinearnim te promatramo kako se genetski algoritam u tome snalazi te da li može pružiti rješenje tamo gdje ostale metode ne mogu.
Abstract (english)
In this paper, we use a genetic algorithm to try and solve a nonlinear food selection problem with given constraints. We try to meet all the set nutritional values while at the same time trying to minimize the function of the target. We use a number of additional constraints to make the problem nonlinear, and we observe how the genetic algorithm handles it and whether it can provide a solution where other methods cannot.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:143:251273
Study programmeTitle: Management
Study programme type: professional
Study level: specialist graduate
Academic / professional title: stručni/a specijalist/specijalistica menadžmenta (stručni/a specijalist/specijalistica menadžmenta)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2020-10-16 07:21:42