DocumentCode
121799
Title
A comparative study of Genetic Algorithms for its applications in Object oriented testing
Author
Vats, Prashant ; Mandot, Manju ; Gosain, Anjana
Author_Institution
AIMACT, Banasthali Univ., Banasthali, India
fYear
2014
fDate
7-8 Feb. 2014
Firstpage
559
Lastpage
565
Abstract
Genetic Algorithms are heuristic approach for forming the bases of search based algorithms. It applies the mechanism of the natural selection of genes & the phenomena´s associated with the genetics like mutation, crossover, and replication to provide solutions in some complex searches. In this paper, we have reviewed their applications in context of the Object oriented paradigm thus proving their usefulness in providing solutions to the various issues related to their testing.
Keywords
genetic algorithms; object-oriented methods; program testing; crossover; evolutionary algorithm; fitness function; genetic algorithms; mutation; natural gene selection; object oriented testing; replication; search based algorithms; Encoding; Evolutionary computation; Genetic algorithms; Genetics; Java; Testing; Unified modeling language; Evolutionary algorithm; Fitness function; Genetic algorithms; Heuristic; Mutation; Object oriented;
fLanguage
English
Publisher
ieee
Conference_Titel
Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on
Conference_Location
Ghaziabad
Type
conf
DOI
10.1109/ICICICT.2014.6781342
Filename
6781342
Link To Document