Document Detail


Parallelisation of a multi-neighbourhood local search heuristic for a phylogeny problem.
MedLine Citation:
PMID:  19324602     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this work we study a phylogeny problem. That is, given a collection of organisms, we want to reconstruct the evolutionary history of the organisms. We are interested in inferring relationships between the organisms. For a number of reasonable biological hypotheses the problem becomes NP-hard. Besides that, the problem data is large enough to inhibit anyone using exact algorithms to solve, in practical computational time, real instances of the problem. In this work, we propose an innovative technique based on local search procedures that use multiple starts and diversified neighbourhoods.
Authors:
G V R Viana; F A C Gomes; C E Ferreira; C N Meneses
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  International journal of bioinformatics research and applications     Volume:  5     ISSN:  1744-5485     ISO Abbreviation:  -     Publication Date:  2009  
Date Detail:
Created Date:  2009-03-27     Completed Date:  2009-06-18     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101253758     Medline TA:  Int J Bioinform Res Appl     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  163-77     Citation Subset:  IM    
Affiliation:
Universidade Federal do Ceara, Centro de Ciencias, Departamento de Computacao, Bloco 910, Campus do Pici, 60455-760, Fortaleza, CE, Brasil. valdisio@lia.ufc.br
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MeSH Terms
Descriptor/Qualifier:
Computational Biology / methods*
Evolution, Molecular
Phylogeny*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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