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A GA based Approach to Find Minimal Vertex Cover
IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology
© 2014 by IJCA Journal
NCWBCB - Number 3
Year of Publication: 2014
Udit Kr. Chakraborty, Debanjan Konar and Chandralika Chakraborty. Article: A GA based Approach to Find Minimal Vertex Cover. IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology NCWBCB(3):5-7, May 2014. Full text available. BibTeX
@article{key:article,
author = {Udit Kr. Chakraborty and Debanjan Konar and Chandralika Chakraborty},
title = {Article: A GA based Approach to Find Minimal Vertex Cover},
journal = {IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology},
year = {2014},
volume = {NCWBCB},
number = {3},
pages = {5-7},
month = {May},
note = {Full text available}
}
Abstract
Genetic Algorithms are a class of Optimization Techniques which has been developed under inspiration of the Darwinian Theory of Survival of the Fittest. This technique has been successfully used to solve many optimization problems which otherwise pose huge challenges for computation. This paper presents a GA based approach to solve the Minimal Vertex Cover problem of Graph Theory.
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