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