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A parallel intelligence algorithm for RNA secondary structure prediction

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

RNA secondary structure prediction algorithms tend to have higher time and space complexity. Some swarm intelligence algorithms can be applied to RNA secondary structure prediction on the basis of stem regions combinatorial optimization. This paper presents a parallel discrete shuffled frog leaping algorithm (parallel-DSFLA), which can run on a distributed cluster using the MPI programming mode. The experimental results show that the parallel-DSFLA got better speed-up ratio, can improve the RNA secondary structure prediction efficiency and save time.

Original languageEnglish
Title of host publicationVehicle, Mechatronics and Information Technologies
Pages1422-1425
Number of pages4
DOIs
StatePublished - 2013
Event2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013 - Zhengzhou, Henan, China
Duration: 17 Aug 201318 Aug 2013

Publication series

NameApplied Mechanics and Materials
Volume380-384
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013
Country/TerritoryChina
CityZhengzhou, Henan
Period17/08/1318/08/13

Keywords

  • Biological computing
  • Intelligence algorithm
  • Parallel algorithm
  • RNA structure

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