Algoritem umetne kolonije čebel

diplomsko delo

Nejc Pušnik (Author), Nikola Guid (Mentor), Damjan Strnad (Co-mentor)

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;nevronske mreže;minimalno vpeto drevo;

Data

Language:	Slovenian
Year of publishing:	2014
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[N. Pušnik]
UDC:	004.8(043.2)
COBISS:	18286102
Views:	1697
Downloads:	122
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	ARTIFICIAL BEE COLONY ALGORITHM
Secondary 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.
Secondary keywords:	swarm intelligence;artificial bee colony;neural network;minimum spannng tree;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages:	VII, 22 f.
ID:	8729014