Publication detail
Using Matlab for Solving of the Genetic Algorithms
ŠEDIVÁ, S.
Czech title
Použití Matlabu pro řešení genetických algoritmů
English title
Using Matlab for Solving of the Genetic Algorithms
Type
conference paper
Language
en
Original abstract
The genetic algorithms are adaptive methods which may be used to solve search and optimalization problems. The genetic algorithms are able to scan whole space of the possible solutions. The aim of this paper is described using of Matlab for solving of the genetic algorithms. Usin of Matlab may be easy way to the solving of the different mathematical or technical problems.
Czech abstract
Genetické algoritmy jsou adaptivní metody, které slouží pro řešení a optimalizaci problémů. Cílem článku je popsat použití Matlabu pro výpočet genetických algoritmů. Genetické algoritmy lze použít pro řešení celé řady optimalizačních problémů.
English abstract
The genetic algorithms are adaptive methods which may be used to solve search and optimalization problems. The genetic algorithms are able to scan whole space of the possible solutions. The aim of this paper is described using of Matlab for solving of the genetic algorithms. Usin of Matlab may be easy way to the solving of the different mathematical or technical problems.
Keywords in Czech
genetické algoritmy, optimalizace, Matlab
Keywords in English
Genetic algorithms, Matlab
RIV year
2002
Released
16.06.2002
Publisher
Faculty of Natural Sciences, Mathematics and Educations University of Split
Location
Split
ISBN
953-96516-8-9
Book
CEEPUS SUMMER SCHOLL Split 2002 Jointly with Fifth Symposium on INTELLIGENT SYSTEMS Split 2002
Pages from–to
1–5
Pages count
5
BIBTEX
@inproceedings{BUT4601,
author="Soňa {Šedivá},
title="Using Matlab for Solving of the Genetic Algorithms",
booktitle="CEEPUS SUMMER SCHOLL Split 2002 Jointly with Fifth Symposium on INTELLIGENT SYSTEMS Split 2002",
year="2002",
month="June",
pages="1--5",
publisher="Faculty of Natural Sciences, Mathematics and Educations University of Split",
address="Split",
isbn="953-96516-8-9"
}