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...

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Main Authors: Selvan, K.V, Muhammad, M.S., Masra, S.M.W., Zuwairie, Ibrahim, Kian, Sheng Lim
格式: E-Article
語言:English
出版: IEEE 2011
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http://ieeexplore.ieee.org/document/5953867/
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spelling my.unimas.ir.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 E-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
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
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
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.
format E-Article
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
title 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_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_sort dna words based on an enhanced algorithm of multi-objective particle swarm optimization in a continuous search space
publisher IEEE
publishDate 2011
url http://ir.unimas.my/id/eprint/17802/1/DNA%20Words%20Based%20on%20an%20Enhanced%20Algorithm%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/17802/
http://ieeexplore.ieee.org/document/5953867/
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score 13.251813