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Title:
GENETSKI ALGORITEM ZA PROBLEM NAVIGACIJE V PROSTORU
Authors:
ID
Jelenko, Marko
(
Author
)
ID
Mernik, Marjan
(
Mentor
)
More about this mentor...
Files:
VS_Jelenko_Marko_2014.pdf
(1,79 MB)
MD5: D924449EF73B29E2618E3E93D4D2380D
Language:
Slovenian
Work type:
Undergraduate thesis
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Namen diplomskega dela je preučiti delovanje genetskega algoritma nad problemom navigacije v prostoru. Algoritem smo implementirali v razvojnem okolju Microsoft Visual Studio s programskim jezikom C#. Omogočili smo izbiro različnih krmilnih parametrov ter operatorjev, s katerimi smo poizkušali poiskati čim optimalnejšo pot v najkrajšem možnem času. Prav tako smo omogočili rekonstrukcijo izvajanja algoritma, ki nam je pomagal pri iskanju napak v implementaciji. Diplomsko delo opisuje splošni genetski algoritem ter predstavi problem navigacije v prostoru. V nadaljevanju je opisana in predstavljena implementacija algoritma ter dobljeni rezultati.
Keywords:
navigacija
,
genetski algoritem
,
evolucijski algoritem
Place of publishing:
Maribor
Publisher:
[M. Jelenko]
Year of publishing:
2014
PID:
20.500.12556/DKUM-45405
UDC:
004.438(043.2)
COBISS.SI-ID:
18272534
NUK URN:
URN:SI:UM:DK:UAKLFNOF
Publication date in DKUM:
21.11.2014
Views:
2618
Downloads:
192
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
A GENETIC ALGORITHM FOR SPACE NAVIGATION PROBLEM
Abstract:
The purpose of the thesis is to examine operation of the genetic algorithm over the space navigation problem. The algorithm has been implemented in Microsoft Visual Studio with C# programming language. We have enabled the choice to select different control parameters and operators with which we have tried to find a sub-optimal path in shortest time possible. We have also enabled reconstruction of algorithm's operation which helped us to find errors in implementation. The thesis describes general genetic algorithm and presents the space navigation problem. In the following chapters we have described implementation of the algorithm and the results obtained.
Keywords:
navigation
,
genetic algorithm
,
evolutionary algorithm
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