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Title:
Igranje igre Mastermind z evolucijskimi algoritmi
Authors:
ID
Veček, Niki
(Author)
ID
Taranenko, Andrej
(Mentor)
More about this mentor...
Files:
UNI_Vecek_Niki_2012.pdf
(514,72 KB)
MD5: A584AF6423C06AC0ACE6BA0EBE1EB8A3
PID:
20.500.12556/dkum/0560fa79-00ca-460f-96bc-43a5a7fa9529
Language:
Slovenian
Work type:
Undergraduate thesis
Organization:
FNM - Faculty of Natural Sciences and Mathematics
Abstract:
Diplomska naloga je razdeljena na dva večja sklopa. V prvem sklopu je predstavljena teorija evolucijskih algoritmov, s poudarkom na genetskih algoritmih. Sledi kratek primer uporabe genetskih algoritmov pri iskanju maksimuma matematične funkcije na določenem intervalu. Drugi del diplomske naloge je posvečen predstavitvi igre Mastermind in genetskemu algoritmu za igranje te igre. Genetski algoritem je podrobno analiziran, predstavljena pa je tudi implementacija v programskem jeziku C++ ter konkretni primer izvajanja. Ob koncu tega sklopa so predstavljeni še drugi algoritmi za igranje igre Mastermind, katerim sledijo primerjave posameznih algoritmov z implementiranim algoritmom.
Keywords:
evolucijski algoritmi
,
optimizacija
,
genetski algoritmi
,
Mastermind
Place of publishing:
Maribor
Publisher:
[N. Veček]
Year of publishing:
2012
PID:
20.500.12556/DKUM-22438
UDC:
51(043.2)
COBISS.SI-ID:
19064584
NUK URN:
URN:SI:UM:DK:BVRMXKOL
Publication date in DKUM:
11.04.2012
Views:
2682
Downloads:
169
Metadata:
Categories:
FNM
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:
VEČEK, Niki, 2012,
Igranje igre Mastermind z evolucijskimi algoritmi
[online]. Bachelor’s thesis. Maribor : N. Veček. [Accessed 9 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=22438
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Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Secondary language
Language:
English
Title:
Playing Mastermind using evolutionary algorithms
Abstract:
The following thesis is divided into two sections. In the first section, we present the theory of evolutionary algorithms, focusing on genetic algorithms. Using genetic algorithms, we present a short example of finding a local maximum of the mathematical function. The second section presents the game Mastermind and genetic algorithm for playing the game. We analyze the genetic algorithm and present the implementation of it in the programming language C++, followed by a concrete example. At the end of the section, we also present other algorithms for playing Mastermind, followed by comparisons of presented algorithms with the implemented algorithm.
Keywords:
evolutionary algorithms
,
optimization
,
genetic algorithms
,
Mastermind
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