Zuwairie, Ibrahim and Mohd Falfazli, Mat Jusof and Mohd Zaidi, Mohd Tumari (2014) Ant Colony Optimisation with Unified Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing. In: International Conference on Soft Computing and Machine Intelligence (ISCMI) , 26-27 September 2014 , New Delhi. pp. 20-23..
Full text not available from this repository. (Request a copy)Abstract
The process of designing a set of good DNA sequences is an essential problem and one of the most practical and important research topics in DNA-based computing. In this field of research, a DNA sequence design problem is defined as a multi-objective problem, and it is evaluated using four objective functions, which are h-measure, similarity, continuity, and hairpin. In addition, two constraints, GC content and melting temperature, are used to maintain uniform chemical characteristics of the sequences. In the authors' previous research, ant colony system (ACS) was proposed to solve the DNA sequence design problem and the Watson-Crick base pair ÄGo37 was used as the distance between nodes in the computational model of DNA sequence design. In the current study, the use of other parameters, namely, unified near estneighbour thermodynamic parameters, are investigated and the result is compared with the previous work.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Publisher: IEEE ISBN: 978-1-4799-4231-2 |
| Uncontrolled Keywords: | Ant colony optimisation; DNA computing; Sequence design |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 26 May 2015 02:58 |
| Last Modified: | 21 Feb 2018 02:41 |
| URI: | http://umpir.ump.edu.my/id/eprint/9218 |
| Download Statistic: | View Download Statistics |
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