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undergraduate thesis
Optimiranje raspoređivanja vojnika u igri obrane tvrđava
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:520782
Njirić, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Njirić, M. (2020). Optimiranje raspoređivanja vojnika u igri obrane tvrđava (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:520782

Njirić, Marin. "Optimiranje raspoređivanja vojnika u igri obrane tvrđava." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:520782

Njirić, Marin. "Optimiranje raspoređivanja vojnika u igri obrane tvrđava." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:520782

Njirić, M. (2020). 'Optimiranje raspoređivanja vojnika u igri obrane tvrđava', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:520782

Njirić M. Optimiranje raspoređivanja vojnika u igri obrane tvrđava [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:520782

M. Njirić, "Optimiranje raspoređivanja vojnika u igri obrane tvrđava", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:520782

Metadata
TitleOptimiranje raspoređivanja vojnika u igri obrane tvrđava
Title (english)Optimizing the deployment of soldiers in the tower defence game
AuthorMarin Njirić
MentorMarin Golub (mentor)
Committee memberMarin Golub (predsjednik povjerenstva)
Committee memberKarlo Knežević (član povjerenstva)
Committee memberIva Jurković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Genetski algoritam je algoritam evolucijskog računanja koji simulira procese selekcije, križanja i mutacije pri pronalasku najboljeg rješenja. Programski je ostvaren za problem raspoređivanja vojnika na tvrđave s različitim vrijednostima. Cilj je pronaći strategiju koja će se pokazati najboljom u igri s drugim igračima. Najbolja strategija je ona koja na kraju igre ima najveći broj bodova. Ovaj algoritam koristi 2 operatora selekcije, 3 operatora križanja i 3 operatora mutacije. Programski sustav omogućava korisniku zadavanje parametara igre i unos vlastite strategije. Eksperimenti su izvedeni s različitim parametrima i prikazani su rezultati.
Abstract (english)
Genetic algorithm is an evolutionary computation algorithm that simulates processes of selection, crossover and mutation when searching for the best solution. It is implemented for problem of deploying soldiers to towers with different values. The goal is to find a strategy that turns out to be the best against other players. The best strategy is the one which has the most points in the end of the game. This algorithm uses 2 selections operators, 3 crossover operators and 3 mutation operators. Software system enables user to enter parameters of the game and his own strategy. Experiments have been made with various parameters and results are shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:520782
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 09:35:52