Ibrahim, Zuwairie and Kurniawan, Tri Basuki and Khalid, Noor Khafifah and Khalid, Marzuki (2009) Implementation of ant colony system for DNA sequence optimization. In: Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09. ISAROB, pp. 712-715. ISBN 978-499028803-7
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DNA computation as a new paradigm has the computational power of molecules for information processing and many computational models have been proposed for solving mathematical problems in laboratory experiments. In order to achieve the correct computation, a set good of DNA sequences is crucial, because the code determines the way to process information on sequences in the experiments. Much works have focused on designing the DNA sequences to archive a reliable molecular computation and many algorithms have been proposed to obtain a set of good DNA sequences. In this paper, Ant Colony System (ACS) is proposed to solve the DNA sequence design problem. ACS used some ants to get their solutions based on the pheromone in their colony. A model is prepared which consists of four nodes representing four DNA bases. The results of the proposed approach are compared with the other methods such as Genetic Algorithm.
|Item Type:||Book Section|
|Additional Information:||14th International Symposium on Artificial Life and Robotics, AROB 14th'09; Oita; 5 February 2008 through 7 February 2009|
|Uncontrolled Keywords:||ant colony optimization, ant colony system, dna sequence optimization|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Ms Zalinda Shuratman|
|Deposited On:||30 Sep 2011 15:10|
|Last Modified:||30 Sep 2011 15:10|
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