DNA words based on an enhanced algorithms 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...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Conference or Workshop Item |
Published: |
2011
|
Online Access: | http://eprints.utm.my/id/eprint/45767/ http://dx.doi.org/10.1109/INECCE.2011.5953867 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!