DocumentCode :
2297088
Title :
DNA words based on an enhanced algorithm of multi-objective particle swarm optimization in a continuous search space
Author :
Selvan, Krishna Veni ; Muhammad, Mohd Saufee ; Masra, Sharifah Masniah Wan ; Ibrahim, Zuwairie ; Lim, Kian Sheng
Author_Institution :
Dept. of Electron. Eng., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
fYear :
2011
fDate :
21-22 June 2011
Firstpage :
154
Lastpage :
159
Abstract :
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.
Keywords :
DNA; biocomputing; particle swarm optimisation; search problems; DNA words; continuous search space; multiobjective particle swarm optimization; optimum fitness value; Algorithm design and analysis; Convergence; DNA; Genetic algorithms; Optimization; Particle swarm optimization; Temperature; DNA molecules; DNA words; continuous particle swarm optimization (CPSO); fitness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Control and Computer Engineering (INECCE), 2011 International Conference on
Conference_Location :
Pahang
Print_ISBN :
978-1-61284-229-5
Type :
conf
DOI :
10.1109/INECCE.2011.5953867
Filename :
5953867
Link To Document :
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