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dc.contributor.authorFarhaana, Yakop-
dc.contributor.authorZuwairie, Ibrahim-
dc.contributor.authorAmar Faiz, Zainal Abidin-
dc.contributor.authorZulkifli, Md. Yusof-
dc.contributor.authorMohd Saberi, Mohamad-
dc.contributor.authorKhairunizam, Wan-
dc.contributor.authorWatada, Junzo-
dc.date.accessioned2013-05-30T08:25:07Z-
dc.date.available2013-05-30T08:25:07Z-
dc.date.issued2012-10-
dc.identifier.citationInternational Journal of Innovative Computing, Information and Control, vol.8(10(B)), 2012, pages 7329-7339.en_US
dc.identifier.issn1349-4198-
dc.identifier.urihttp://www.ijicic.org/contents.htm-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/25578-
dc.descriptionLink to publisher's homepage at http://www.ijicic.org/en_US
dc.description.abstractDeoxyribonucleic 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 Algorithmen_US
dc.language.isoenen_US
dc.publisherICIC Internationalen_US
dc.subjectDNA sequence designen_US
dc.subjectDNA computingen_US
dc.subjectAnt colony systemen_US
dc.titleAn Ant Colony System for Solving DNA Sequence Design Problem in DNA Computingen_US
dc.typeArticleen_US
Appears in Collections:School of Mechatronic Engineering (Articles)
Wan Khairunizam Wan Ahmad, Assoc. Prof. Ir. Ts. Dr.

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