Implementation of ant colony system for DNA sequence optimization
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, bec...
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2009
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author | Ibrahim, Zuwairie Kurniawan, Tri Basuki Mohamed Saaid, Muhammad Faiz Yahya, Azli |
author_facet | Ibrahim, Zuwairie Kurniawan, Tri Basuki Mohamed Saaid, Muhammad Faiz Yahya, Azli |
author_sort | Ibrahim, Zuwairie |
collection | ePrints |
description | 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. |
first_indexed | 2024-03-05T18:29:20Z |
format | Conference or Workshop Item |
id | utm.eprints-15283 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T18:29:20Z |
publishDate | 2009 |
record_format | dspace |
spelling | utm.eprints-152832020-08-30T08:46:18Z http://eprints.utm.my/15283/ Implementation of ant colony system for DNA sequence optimization Ibrahim, Zuwairie Kurniawan, Tri Basuki Mohamed Saaid, Muhammad Faiz Yahya, Azli TK Electrical engineering. Electronics Nuclear engineering 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. 2009 Conference or Workshop Item PeerReviewed Ibrahim, Zuwairie and Kurniawan, Tri Basuki and Mohamed Saaid, Muhammad Faiz and Yahya, Azli (2009) Implementation of ant colony system for DNA sequence optimization. In: The 14th International Symposium on Artificial Life and Robotics (AROB 2009), 2009, Oita, Kitakyushu, Jepun. https://isarob.org/symhttp://dms.library.utm.my:8080/vital/access/manager/Repository/vital:105242posium/index.php?main_page=arob09 |
spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ibrahim, Zuwairie Kurniawan, Tri Basuki Mohamed Saaid, Muhammad Faiz Yahya, Azli Implementation of ant colony system for DNA sequence optimization |
title | Implementation of ant colony system for DNA sequence optimization |
title_full | Implementation of ant colony system for DNA sequence optimization |
title_fullStr | Implementation of ant colony system for DNA sequence optimization |
title_full_unstemmed | Implementation of ant colony system for DNA sequence optimization |
title_short | Implementation of ant colony system for DNA sequence optimization |
title_sort | implementation of ant colony system for dna sequence optimization |
topic | TK Electrical engineering. Electronics Nuclear engineering |
work_keys_str_mv | AT ibrahimzuwairie implementationofantcolonysystemfordnasequenceoptimization AT kurniawantribasuki implementationofantcolonysystemfordnasequenceoptimization AT mohamedsaaidmuhammadfaiz implementationofantcolonysystemfordnasequenceoptimization AT yahyaazli implementationofantcolonysystemfordnasequenceoptimization |