Selvan, K. V. and Muhammad, M. S. and Masra, S. M. W. and Ibrahim, Zuwairie and Lim, K. S. (2011) DNA words based on an enhanced algorithm of multi-objective particle swarm optimization in a continuous search space. In: InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. IEEE Explorer, pp. 154-159. ISBN 978-161284228-8
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Official URL: http://dx.doi.org/10.1109/INECCE.2011.5953867
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:||Book Section|
|Uncontrolled Keywords:||continuous particle swarm optimization (CPSO), DNA molecules, DNA words, fitness|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Liza Porijo|
|Deposited On:||07 Dec 2012 01:54|
|Last Modified:||04 Feb 2017 23:59|
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