Implementacija algoritma klonske selekcije v Pythonu

diplomsko delo

Andraž Peršon (Author), Iztok Fister (Mentor), Iztok Fister (Co-mentor)

Abstract

Namen diplomskega dela je implementirati algoritem, ki pri reševanju problemov uporablja vzore iz narave, podrobneje algoritem klonske selekcije. Celotna raziskava je bila izvedena na podlagi proučevanja spletnih virov. Omenjena sta programski jezik Python in knjižnica NiaPy, ki vključuje številne algoritme po vzorih iz narave. Predstavljene so rešitve, podobne algoritmu klonske selekcije, ki že obstajajo. Razložena sta algoritem klonske selekcije in njegova implementacija v programskem jeziku Python. Podrobno so predstavljeni rezultati in testiranje algoritma klonske selekcije ter integracija omenjenega algoritma v knjižnico NiaPy.

Keywords

algoritmi po vzoru iz narave;optimizacijski algoritem klonske selekcije;knjižnica NiaPy;Python;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2024
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[A. Peršon]
UDC:	004.8.021(043.2)
COBISS:	192308739
Views:	216
Downloads:	37
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Implementation of Clonal Selection algorithm in Python
Secondary abstract:	The purpose of this thesis is to implement a Clonal Selection algorithm that uses patterns from nature in solving problems. The entire research was conducted based on online resources. Similar existing solutions are introduced. The Python programming language as well as the NiaPy library, which includes a number of nature-inspired algorithms, are described. The Clonal Selection algorithm and its implementation in the Python programming language are defined. The results and testing of the Clonal Selection algorithm as well as the integration of mentioned algorithm into the NiaPy library are presented.
Secondary keywords:	nature-inspired algorithms;Clonal Selection optimization algorithm;library NiaPy;Python;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	1 spletni vir (1 datoteka PDF (VIII, 33 f.))
ID:	22839999