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DNA Sequence Design for Direct-Proportional Length-Based DNA Computing: Particle Swarm Optimization vs Population Based Ant Colony Optimization

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6 Author(s)
Yusof, Z.M. ; Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia ; Rahim, M.A.A. ; Nawawi, S.W. ; Khalil, K.
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Generally, in DNA computing, the DNA sequences used for the computation should be critically designed in order to reduce error that could occur during computation. Previously, direct-proportional length-based DNA computing which involved DNA sequences with different lengths has been implemented to solve the shortest path problem. In this study, particle swarm optimization (PSO) and population-based ant colony optimization (P-ACO) are employed to design DNA sequences with different lengths and the results obtained are compared. Further comparison with the sequences generated by graph and generate-and-test methods is presented. The results show that P-ACO approach can generate relatively better DNA sequences in some objectives than PSO approach and the other methods. It can be concluded that the P-ACO algorithm can obtain relatively a better set of DNA sequences for DNA computing with length constraints.

Published in:

Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on

Date of Conference:

25-27 Sept. 2012

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