Umetni imunski sistem - s strani biologije navdihnjeno računanje

magistrsko delo

Andrej Barovič Karpov (Author), Marjan Mernik (Mentor)

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;genetsko programiranje;genetski algoritmi;umetni imunski sistem;magistrske naloge;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.09 - Master's Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[A. Barovič Karpov]
UDC:	004.89:615.37(043)
COBISS:	19696662
Views:	1294
Downloads:	98
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	BIOLOGY INSPIRED COMPUTING – ARTIFICIAL IMMUNE SYSTEM
Secondary 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.
Secondary keywords:	intelligent systems;evolutionary computation;evolutionary algorithms;evolutionary strategy;genetic programming;genetic algorithms;artificial immune system;
URN:	URN:SI:UM:
Type (COBISS):	Master's thesis
Thesis comment:	Univ. v Mariboru, Fak. za elekrotehniko, računalništvo in informatiko
Pages:	IX, 73 str.
ID:	9150835