The week's pick
Reseach Article
An Observational Analysis of Genetic Operators
by
T. Geetha,
K. Muthu Kumaran
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 63 - Number 18 |
| Year of Publication: 2013 |
| Authors: T. Geetha, K. Muthu Kumaran |
10.5120/10567-5583
|
T. Geetha, K. Muthu Kumaran . An Observational Analysis of Genetic Operators. International Journal of Computer Applications. 63, 18 ( February 2013), 24-34. DOI=10.5120/10567-5583
@article{
10.5120/10567-5583,
author = {
T. Geetha,
K. Muthu Kumaran
},
title = { An Observational Analysis of Genetic Operators },
journal = {
International Journal of Computer Applications
},
issue_date = { February 2013 },
volume = { 63 },
number = { 18 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = {
24-34
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume63/number18/10567-5583/
},
doi = { 10.5120/10567-5583 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:14:41.401201+05:30
%A T. Geetha
%A K. Muthu Kumaran
%T An Observational Analysis of Genetic Operators
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 18
%P 24-34
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Genetic algorithm is a search heuristic that mimics the natural process of evolution and it generates solution to a very complex NP-Hard problems. Genetic algorithm belongs to the class of evolutionary algorithms (EA) and it generates solution by using nature inspired techniques like selection, crossover and mutation. The performance of the genetic algorithm is mainly depends on the genetic operators. Genetic operators have the capability to maintain the genetic diversity. This paper mainly describes the available selection mechanisms as well as the crossover and the mutation operators.
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Index Terms
Computer Science
Information Sciences
Keywords