Ant Colony Optimisation with Unified Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing
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...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/9218/ http://dx.doi.org/10.1109/ISCMI.2014.40 |
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| Institution: | Universiti Malaysia Pahang |
| Summary: | 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. |
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