Volume 5 Number 6 (Jun. 2010)
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JSW 2010 Vol.5(6): 662-670 ISSN: 1796-217X
doi: 10.4304/jsw.5.6.662-670

A New Approach for the Dominating-Set Problem by DNA-Based Supercomputing

Xu Zhou1, GuangXue Yue1, ZhiBang Yang2, KenLi Li2
1College of Mathematics and Information Engineering, JiaXing University, JiaXing, P.R.China
2School of Computer and Communications,Hunan University, Changsha, C P.R.hina

Abstract—DNA computing has been applied to many different decision or combinatorial problems when being proved of its feasibility in experimental demonstration. In this paper, for the objective to reduce the DNA volume of the dominating set problem which belongs to the NP- complete problem, the pruning strategy is introduced into the DNA supercomputing and a new DNA algorithm is advanced. The new algorithm consists of a donimating set searcher, a donimating set generator, a parallel searcher and a minimum dominating set searcher. In a computer simulation, the new algorithm is testified to be highly spaceefficient and error-tolerant compared to conventional bruteforce searching.

Index Terms—DNA-based supercomputing, dominating set problem, pruning strategy, NP- complete problem.

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Cite: Xu Zhou, GuangXue Yue, ZhiBang Yang, KenLi Li, "A New Approach for the Dominating-Set Problem by DNA-Based Supercomputing," Journal of Software vol. 5, no. 6, pp. 662-670, 2010.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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