Title :
DNA Algorithms of Two Kinds of Full Permutation Problem Based on Sticker Model
Author :
Yang, Yuxing ; Li, Qingsheng ; Ma, Jilan
Author_Institution :
Sch. of Comput. & Inf. Eng., Anyang Normal Univ., Anyang
Abstract :
It is not convenient to use separate or multi-separate operations of sticker DNA model directly in Adleman-Lipton model. In order to make experiments conveniently in Adleman-Lipton model, the Extended Separate technology was proposed originally; and the biochemical implementing method was given, too. Both a sticker DNA algorithm of linear full permutation problem (LIFPP) and a sticker DNA algorithm of circle full permutation problem (CIFPP) were proposed based on the vast parallelism and large message-storage capacity of sticker DNA model; and the differences between the algorithms were illustrated, too. The operation steps of the two algorithms were given through an instance; and the biochemical processes were illustrated by simulation experiments. The final correct results were gotten through the simulation experiments. Consequently, the feasibilities and validities of the algorithms were proved. At last, the operation complexities of the algorithms were analyzed.
Keywords :
biocomputing; combinatorial mathematics; parallel algorithms; Adleman-Lipton model; circle full permutation problem; combinatorial problem; extended separate technology; large message-storage capacity; linear full permutation problem; sticker DNA algorithm; super parallelism; Application software; Computational intelligence; Computational modeling; Computer industry; Concurrent computing; Conferences; DNA computing; Educational institutions; Parallel processing; Software algorithms; DNA computation; circle permutation; full permutation; sticker model;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.129