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Title:
ALGORITEM UMETNE KOLONIJE ČEBEL
Authors:
ID
Pušnik, Nejc
(
Author
)
ID
Strnad, Damjan
(
Mentor
)
More about this mentor...
ID
Guid, Nikola
(
Comentor
)
Files:
UNI_Pusnik_Nejc_2014.pdf
(2,03 MB)
MD5: 4F245206DEA3E2D89D350A9C5C236F68
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
To diplomsko delo opisuje algoritem umetne kolonije čebel in nekaj njegovih izboljšav. Hkrati opisuje tudi področje inteligence rojev, kamor spada algoritem umetne kolonije čebel in navaja nekaj sorodnih algoritmov. Algoritem smo preizkusili na iskanju minimalnega vpetega drevesa in učenju nevronske mreže ter dobljene rezultate primerjali s Primovim algoritmom in algoritmom vzvratnega razširjanja.
Keywords:
inteligenca rojev
,
umetna kolonija čebel
,
nevronska mreža
,
minimalno vpeto drevo
Place of publishing:
Maribor
Publisher:
[N. Pušnik]
Year of publishing:
2014
PID:
20.500.12556/DKUM-45313
UDC:
004.8(043.2)
COBISS.SI-ID:
18286102
NUK URN:
URN:SI:UM:DK:PZHHHLFY
Publication date in DKUM:
17.11.2014
Views:
2669
Downloads:
187
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
ARTIFICIAL BEE COLONY ALGORITHM
Abstract:
This thesis deals with the artificial bee colony algorithm (ABC) and its improvements. It describes the field of swarm intelligence to which the artificial bee colony algorithm belongs and names certain similar algorithms. The implemented ABC algorithm is tested on the problem of finding the minimum spanning tree and training the neural networks. The obtained results are compared with the Prim’s algorithm and the backpropagation algorithm, respectively.
Keywords:
swarm intelligence
,
artificial bee colony
,
neural network
,
minimum spanning tree
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