DocumentCode :
1654817
Title :
Research on the DNA Sequence Design Based on GA/PSO Algorithms
Author :
Xu, Chunxia ; Zhang, Qiang ; Wang, Bin ; Zhang, Rui
Author_Institution :
Liaoning Key Lab. of Intell. Inf. Process., Dalian Univ. Dalian, Dalian
fYear :
2008
Firstpage :
816
Lastpage :
819
Abstract :
The core reaction of DNA computing is the specific hybridization, which may results in incorrect or undesirable computations. Therefore, so far much works have focused on designing the DNA sequences to make the molecular computation more reliable. In this paper, we formulate the DNA sequence design as a multi-objective optimization problem and solve it by Genetic Algorithm (GA)/Particle Swarm Optimization (PSO), which integrate GA with the characteristic of convergence and PSO with the characteristic of rapidly converging. Furthermore, a computer simulation is conducted and seven better DNA sequences are obtained to prove the efficiency of our method given here.
Keywords :
DNA; biocomputing; genetic algorithms; particle swarm optimisation; DNA computing; DNA sequence design; GA/PSO algorithms; genetic algorithm; molecular computation; particle swarm optimization; Algorithm design and analysis; Ant colony optimization; Biology computing; Chemicals; DNA computing; Encoding; Genetic algorithms; Optimization methods; Physics computing; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
Type :
conf
DOI :
10.1109/ICBBE.2008.200
Filename :
4535080
Link To Document :
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