magistrsko delo
Aleksander Robnik (Author), Matej Črepinšek (Mentor)

Abstract

V magistrskem delu predstavimo inteligenco rojev ter opišemo algoritem optimizacije z rojem delcev. Pojasnimo izvor algoritmov inteligence rojev in njihov osnovni namen. Podrobneje raziščemo različne izpeljanke algoritma optimizacije z rojem delcev ter naredimo primerjavo med njimi. Med različnimi izpeljankami algoritma optimizacije z rojem delcev prihaja do majhnih sprememb v programski kodi, zato le te nazorno prikažemo. Analizo delovanja algoritmov izvedemo s pomočjo sistema EARS, s katerim lahko primerjamo moči posameznih evolucijskih algoritmov.

Keywords

optimizacija z rojem delcev;inteligenca rojev;algoritem PSO;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: A. Robnik
UDC: 004.434:004.8(043.2)
COBISS: 20267286 Link will open in a new window
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Downloads: 170
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Other data

Secondary language: English
Secondary title: ANALYSIS OF THE PSO ALGORITHM AND ITS DERIVATIVES
Secondary abstract: In this thesis, we present swarm intelligence and describe particle swarm optimization algorithm. We explain the origin of swarm intelligence algorithms and their primary purpose. More specifically we investigate the different derivatives of the particle swarm optimization algorithms and make a comparison between them. Among various derivatives of particle swarm optimization algorithms comes to small differences in programming code. We make comparison among those differences. We make performance analysis of the algorithms with EARS system, which can compare the power of individual evolutionary algorithms.
Secondary keywords: particle swarm optimization;swarm intelligence;PSO algorithm;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages: VIII, 63 f.
ID: 9170889