DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space
In this paper, particle swarm optimization algorithm in a continuous search space is implemented to generate a set of DNA words. A single swarm with 20 particles is used to find the best solution (gbest). Here, each particle has a number of sub-particles which is referred as the number of seque...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2011
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/17802/ http://ir.unimas.my/id/eprint/17802/1/DNA%20Words%20Based%20on%20an%20Enhanced%20Algorithm%20%28abstract%29.pdf |
| _version_ | 1848838372065280000 |
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| author | Selvan, K.V Muhammad, M.S. Masra, S.M.W. Zuwairie, Ibrahim Kian, Sheng Lim |
| author_facet | Selvan, K.V Muhammad, M.S. Masra, S.M.W. Zuwairie, Ibrahim Kian, Sheng Lim |
| author_sort | Selvan, K.V |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | In this paper, particle swarm optimization
algorithm in a continuous search space is implemented to
generate a set of DNA words. A single swarm with 20
particles is used to find the best solution (gbest). Here, each
particle has a number of sub-particles which is referred as
the number of sequences to be designed. Overall, the particle
which has the optimum fitness value is considered as the best
solution. Fitness value of a particle is computed from the
average value of all the applied objective functions. The
solution obtained from this algorithm is found to be better as
compared with other approaches. Furthermore, it has a fast
convergence towards the optimum fitness value. |
| first_indexed | 2025-11-15T06:54:30Z |
| format | Article |
| id | unimas-17802 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:54:30Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-178022017-09-27T03:31:59Z http://ir.unimas.my/id/eprint/17802/ DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space Selvan, K.V Muhammad, M.S. Masra, S.M.W. Zuwairie, Ibrahim Kian, Sheng Lim TK Electrical engineering. Electronics Nuclear engineering In this paper, particle swarm optimization algorithm in a continuous search space is implemented to generate a set of DNA words. A single swarm with 20 particles is used to find the best solution (gbest). Here, each particle has a number of sub-particles which is referred as the number of sequences to be designed. Overall, the particle which has the optimum fitness value is considered as the best solution. Fitness value of a particle is computed from the average value of all the applied objective functions. The solution obtained from this algorithm is found to be better as compared with other approaches. Furthermore, it has a fast convergence towards the optimum fitness value. IEEE 2011 Article PeerReviewed text en http://ir.unimas.my/id/eprint/17802/1/DNA%20Words%20Based%20on%20an%20Enhanced%20Algorithm%20%28abstract%29.pdf Selvan, K.V and Muhammad, M.S. and Masra, S.M.W. and Zuwairie, Ibrahim and Kian, Sheng Lim (2011) DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space. 2011 International Conference on Electrical, Control and Computer Engineering (INECCE),. ISSN Print ISBN: 978-1-61284-229-5 http://ieeexplore.ieee.org/document/5953867/ DOI: 10.1109/INECCE.2011.5953867 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Selvan, K.V Muhammad, M.S. Masra, S.M.W. Zuwairie, Ibrahim Kian, Sheng Lim DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space |
| title | DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space |
| title_full | DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space |
| title_fullStr | DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space |
| title_full_unstemmed | DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space |
| title_short | DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space |
| title_sort | dna words based on an enhanced algorithm of multi-objective particle swarm optimization in a continuous search space |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/17802/ http://ir.unimas.my/id/eprint/17802/ http://ir.unimas.my/id/eprint/17802/ http://ir.unimas.my/id/eprint/17802/1/DNA%20Words%20Based%20on%20an%20Enhanced%20Algorithm%20%28abstract%29.pdf |