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Sequence design for direct-proportional length-based DNA computing using population-based ant colony optimization

Kurniawan, Tri Basuki and Khalid, Noor Khafifah and Ibrahim, Zuwairie and Zainal Abidin, Mohammad Shukri and Khalid, Marzuki (2009) Sequence design for direct-proportional length-based DNA computing using population-based ant colony optimization. In: ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings. Institute of Electrical and Electronics Engineers, New York, 1486 -1491. ISBN 978-490776433-3

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Generally, in DNA sequences used for the computation should be critically designed in order to reduce error that could occur during computation. In order to design a set DNA sequences for Direct-Proportional Length-Based DNA Computing (DPLB-DNAC), a Population-based Ant Colony Optimization (P-ACO) method is proposed. Previously, the DNA sequences for DPLB-DNAC are designed using graph method and Generate-and-Test approach, respectively. The both of methods are without the optimized objective functions process. The proposed method used four objective functions in their process to obtain the best solutions. The results obtained from the proposed method are compared with the sequences generated by graph and Generate-and-Test methods. The results show that P-ACO approach can generate relatively better DNA sequences in some objectives than others. It can be concluded that proposed algorithm can obtain relatively a better set of DNA sequences for DPLB-DNAC.

Item Type:Book Section
Additional Information:ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009; Fukuoka; 18 August 2009 through 21 August 2009
Uncontrolled Keywords:direct-proportional length-based DNA computing, DNA sequence design, population-based ant colony optimization
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:13098
Deposited By: Liza Porijo
Deposited On:18 Jul 2011 07:52
Last Modified:18 Jul 2011 07:52

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