Literature DB >> 27693626

A general resolution of intractable problems in polynomial time through DNA Computing.

C A A Sanches1, N Y Soma2.   

Abstract

Based on a set of known biological operations, a general resolution of intractable problems in polynomial time through DNA Computing is presented. This scheme has been applied to solve two NP-Hard problems (Minimization of Open Stacks Problem and Matrix Bandwidth Minimization Problem) and three co-NP-Complete problems (associated with Hamiltonian Path, Traveling Salesman and Hamiltonian Circuit), which have not been solved with this model. Conclusions and open questions concerning the computational capacity of this model are presented, and research topics are suggested. Copyright Â
© 2016 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Co-NP class; DNA Computing; NP-Hard problems

Mesh:

Substances:

Year:  2016        PMID: 27693626     DOI: 10.1016/j.biosystems.2016.09.008

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  2 in total

1.  A Parallel DNA Algorithm for Solving the Quota Traveling Salesman Problem Based on Biocomputing Model.

Authors:  Zhaocai Wang; Xian Wu; Tunhua Wu
Journal:  Comput Intell Neurosci       Date:  2022-08-31

2.  RNA secondary structured logic gates for profiling the microRNA cancer biomarkers.

Authors:  Mahsa Yazdani; Zohre Beiki; Ali Jahanian
Journal:  IET Nanobiotechnol       Date:  2020-05       Impact factor: 1.847

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.