Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
UMETNI IMUNSKI SISTEM - S STRANI BIOLOGIJE NAVDIHNJENO RAČUNANJE
Authors:
ID
Barovič Karpov, Andrej
(Author)
ID
Mernik, Marjan
(Mentor)
More about this mentor...
Files:
MAG_Barovic_Karpov_Andrej_2016.pdf
(1,67 MB)
MD5: 9A723CA8D2608CCDFD1A6D2547F1B77C
Language:
Slovenian
Work type:
Master's thesis
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Cilj magistrskega dela je opis (njihova sestava in princip, po katerem delujejo), implementacija algoritmov umetnega imunskega sistema (AIS) in njihova integracija v obstoječo EARS okolje. V AIS skupino algoritmov spadajo CLONALG, NSA, aiNET in drugi. Te algoritme smo primerjali z ostalimi optimizacijskimi algoritmi, kot so: PSO, DE, ABC, in TLBO. Primerjavo med algoritmi smo izvedli na CEC skupini problemov in pri tem uporabili statistične teste (NHST) ter novejši pristop CRS4EAs. Rezultati vsake generacije so bili podvrženi dodatnim testom za ugotavljanje eksploracijskih (raziskovalnih) in eksploatacijskih (izkoriščevalnih) lastnosti algoritma AIS.
Keywords:
inteligentni sistemi
,
evolucijsko računanje
,
evolucijski algoritmi
,
evolucijske strategije
,
genetsko programiranje
,
genetski algoritmi
,
umetni imunski sistem
Place of publishing:
Maribor
Publisher:
[A. Barovič Karpov]
Year of publishing:
2016
PID:
20.500.12556/DKUM-60364
UDC:
004.89:615.37(043)
COBISS.SI-ID:
19696662
NUK URN:
URN:SI:UM:DK:ZBDEUCWD
Publication date in DKUM:
07.07.2016
Views:
2188
Downloads:
141
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
BAROVIČ KARPOV, Andrej, 2016,
UMETNI IMUNSKI SISTEM - S STRANI BIOLOGIJE NAVDIHNJENO RAČUNANJE
[online]. Master’s thesis. Maribor : A. Barovič Karpov. [Accessed 25 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=60364
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
Preventiva raka materničnega vratu v Sloveniji
Novi izzivi v presejanju za raka materničnega vratu
Raziskovalni projekt sprejemljivosti testa HPV doma med neodzivnicami DP Zora in učinkovitosti novih triažnih testov
Raziskovalni projekt sprejemljivosti testa HPV doma med neodzivnicami DP Zora in učinkovitosti novih triažnih testov
Presejalni register DP Zora danes
Similar works from other repositories:
No similar works found
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:
BIOLOGY INSPIRED COMPUTING – ARTIFICIAL IMMUNE SYSTEM
Abstract:
The aim of the master thesis is the description and implementation of artificial immune system algorithms and their integration into existing EARS environment. The AIS group of algorithms consists of CLONALG, NSA, aiNet and others. These algorithms were compared with other optimization algorithms such as PSO, DE, ABC, and TLBO. The comparison between algorithms was performed on the CEC group of problems while using statistical tests (NHST) and the newer approach CRS4EAs. The results of each generation have been subjected to additional tests to determine the exploratory and exploitative characteristics of the AIS algorithm.
Keywords:
Intelligent systems
,
evolutionary computation
,
evolutionary algorithms
,
evolutionary strategy
,
genetic programming
,
genetic algorithms
,
artificial immune system
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
