Universiti Teknologi Malaysia Institutional Repository

DNA words based on an enhanced algorithms of multi-objective particle swarm optimization in a continuous search space

Selvan, Krishna Veni and Muhammad, Mohd. Saufee and Wan Masra, Sharifah Masniah and Ibrahim, Zuwairies and Kian, Sheng Lim (2011) DNA words based on an enhanced algorithms of multi-objective particle swarm optimization in a continuous search space. In: International Conference On Electrical, Control And Computer Engineering (INECCE 2011).

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/INECCE.2011.5953867

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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:particle swarm optimization
Divisions:Electrical Engineering
ID Code:45767
Deposited By: Pn Haliza Zainal
Deposited On:10 Jun 2015 03:01
Last Modified:29 Aug 2017 01:36

Repository Staff Only: item control page