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