An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing
Link to publisher's homepage at http://www.ijicic.org/
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
ICIC International
2013
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/25578 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.unimap-25578 |
---|---|
record_format |
dspace |
spelling |
my.unimap-255782013-05-30T08:25:07Z An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing Farhaana, Yakop Zuwairie, Ibrahim Amar Faiz, Zainal Abidin Zulkifli, Md. Yusof Mohd Saberi, Mohamad Khairunizam, Wan Watada, Junzo DNA sequence design DNA computing Ant colony system Link to publisher's homepage at http://www.ijicic.org/ Deoxyribonucleic acid (DNA) is a nucleic acid that contains the genetic information used in the development and functioning of all known existing organisms. In DNA computing, a set of DNA sequences is involved in solving an optimisation problem. The design of those sequences is difficult because of the frequency of DNA sequence mis-match hybridisations. In this paper, an Ant Colony System approach for DNA sequence design is proposed to solve this DNA sequence design problem. A 4-node state transition machine was used in this study as the computation model. During the implementation, each ant was placed randomly at a start node and then moved according to the state transition rule. Once all of the ants completed the tour, the objective function was computed. This process was repeated until the maximum iteration was obtained. Seven ants were used to design seven sequences that were 20 nucleobases in length. The results showed that a set of usable DNA sequences can be produced using this method, which is better than previous approaches using the Genetic Algorithm and Multi-Objective Evolutionary Algorithm 2013-05-30T08:25:07Z 2013-05-30T08:25:07Z 2012-10 Article International Journal of Innovative Computing, Information and Control, vol.8(10(B)), 2012, pages 7329-7339. 1349-4198 http://www.ijicic.org/contents.htm http://hdl.handle.net/123456789/25578 en ICIC International |
institution |
Universiti Malaysia Perlis |
building |
UniMAP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Perlis |
content_source |
UniMAP Library Digital Repository |
url_provider |
http://dspace.unimap.edu.my/ |
language |
English |
topic |
DNA sequence design DNA computing Ant colony system |
spellingShingle |
DNA sequence design DNA computing Ant colony system Farhaana, Yakop Zuwairie, Ibrahim Amar Faiz, Zainal Abidin Zulkifli, Md. Yusof Mohd Saberi, Mohamad Khairunizam, Wan Watada, Junzo An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing |
description |
Link to publisher's homepage at http://www.ijicic.org/ |
format |
Article |
author |
Farhaana, Yakop Zuwairie, Ibrahim Amar Faiz, Zainal Abidin Zulkifli, Md. Yusof Mohd Saberi, Mohamad Khairunizam, Wan Watada, Junzo |
author_facet |
Farhaana, Yakop Zuwairie, Ibrahim Amar Faiz, Zainal Abidin Zulkifli, Md. Yusof Mohd Saberi, Mohamad Khairunizam, Wan Watada, Junzo |
author_sort |
Farhaana, Yakop |
title |
An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing |
title_short |
An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing |
title_full |
An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing |
title_fullStr |
An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing |
title_full_unstemmed |
An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing |
title_sort |
ant colony system for solving dna sequence design problem in dna computing |
publisher |
ICIC International |
publishDate |
2013 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/25578 |
_version_ |
1643794700338987008 |
score |
13.214268 |