DocumentCode :
1930216
Title :
DNA sequence design for reliable DNA computing by using a multiobjective approach
Author :
Chaves-Gonzalez, J.M. ; Vega-Rodriguez, Miguel A.
Author_Institution :
Dept. of Comput. & Commun. Technol., Univ. of Extremadura, Caceres, Spain
fYear :
2012
fDate :
20-22 Nov. 2012
Firstpage :
73
Lastpage :
78
Abstract :
In DNA computing, the design of reliable DNA sequences is one of the most important tasks, because sequences used for that purpose have to fulfill several biochemical restrictions to avoid undesirable reactions. These reactions usually cause incorrect computations, so it is necessary to avoid this circumstance by generating robust and reliable sets of sequences. In this paper, we consider six different conflicting design criteria to solve the problem by using the multiobjective fast non dominated sorting genetic algorithm (NSGA-II). Our proposal is compared against other sequence design methods, and our results show that our version of NSGA-II outperforms in reliability other existing techniques published in the literature.
Keywords :
biochemistry; biocomputing; biology computing; chemical engineering computing; genetic algorithms; DNA sequence design; NSGA-II; biochemical restrictions; multiobjective approach; multiobjective fast nondominated sorting genetic algorithm; reliable DNA computing; reliable DNA sequences; sequence design methods; DNA computing; DNA sequence design; NSGA-II; multiobjective optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4673-5205-5
Electronic_ISBN :
978-1-4673-5210-9
Type :
conf
DOI :
10.1109/CINTI.2012.6496736
Filename :
6496736
Link To Document :
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