Selvan, K.V and Muhammad, M.S. and Masra, S.M.W. and Zuwairie, Ibrahim and Kian, Sheng Lim (2011) DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space. 2011 International Conference on Electrical, Control and Computer Engineering (INECCE),. ISSN Print ISBN: 978-1-61284-229-5
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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: | Article |
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| Uncontrolled Keywords: | DNA molecules, DNA words, fitness, continuous particle swarm optimization (CPSO), unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 27 Sep 2017 03:31 |
| Last Modified: | 27 Sep 2017 03:31 |
| URI: | http://ir.unimas.my/id/eprint/17802 |
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