%0 Journal Article
%T A new approach based on PSO algorithm to find good computational encoding sequences
%A Cui Guangzhao
%A Niu Yunyun
%A Wang Yanfeng
%A Zhang Xuncai
%A Pan Linqiang
%A <br>Cui Guangzhao
%A Niu Yunyun
%A Wang Yanfeng
%A Zhang Xuncai and Pan Linqiang
%J 自然科学进展
%D 2007
%I 
%X Computational encoding DNA sequence design is one of the most important steps in molecular computation. A lot of research work has been done to design reliable sequence library. A revised method based on the support system developed by Tanaka et al. is proposed here with different criteria to construct fitness function. Then we adapt particle swarm optimization (PSO) algorithm to our encoding problem. By using the new algorithm, a set of sequences with good quality is generated. The result also shows that our PSO-based approach could rapidly converge at the minimum level for an output of the simulation model. The celerity of the algorithm fits our requirements.
%K DNA computing
%K computational encoding DNA sequences
%K PSO algorithm
%K fitness function<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=504AF8C1E5476CA7C4EC9DF6FEAC14AC&aid=5F41A2FF445F58CFD756877532DA3928&yid=A732AF04DDA03BB3&vid=BCA2697F357F2001&iid=B31275AF3241DB2D&sid=AB720B703F452703&eid=27350781F1397F32&journal_id=1002-008X&journal_name=自然科学进展&referenced_num=1&reference_num=1