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 sequences...
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| Main Authors: | , , , , |
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| Format: | Book Section |
| Published: |
IEEE Explorer
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/28993/ http://dx.doi.org/10.1109/INECCE.2011.5953867 |
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| Institution: | Universiti Teknologi Malaysia |