Research Article
Pairwise Alignment using ABC Optimization
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 144 - Issue 7 |
| Published: Jun 2016 |
| Authors: Ankit Choubey, G. L. Prajapati |
10.5120/ijca2016910470
|
Ankit Choubey, G. L. Prajapati . Pairwise Alignment using ABC Optimization. International Journal of Computer Applications. 144, 7 (Jun 2016), 32-34. DOI=10.5120/ijca2016910470
@article{ 10.5120/ijca2016910470,
author = { Ankit Choubey,G. L. Prajapati },
title = { Pairwise Alignment using ABC Optimization },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 144 },
number = { 7 },
pages = { 32-34 },
doi = { 10.5120/ijca2016910470 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Ankit Choubey
%A G. L. Prajapati
%T Pairwise Alignment using ABC Optimization%T
%J International Journal of Computer Applications
%V 144
%N 7
%P 32-34
%R 10.5120/ijca2016910470
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In Artificial Bee Colony (ABC) optimization, we find better solution by employing neighbourhood search strategy using the current solutions. Researchers have tested ABC in many practical optimization problems. In this paper, we propose an application of ABC for the pairwise DNA sequence alignment in order to observe its performance in bioinformatics computation. We compare our results with the pairwise alignment algorithm FASTA. The results are encouraging. We also demonstrate ABC on Graph Coloring problem using different traversing strategies.
References
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