DocumentCode
2851561
Title
Variable Neighborhood Search as Genetic Algorithm Operator for DNA Fragment Assembling Problem
Author
Minetti, Gabriela ; Luque, Gabriel ; Alba, Enrique
Author_Institution
Lab. de Investig. en Sist. Inteligentes, Univ. Nac. de La Pampa, Santa Rosa
fYear
2008
fDate
10-12 Sept. 2008
Firstpage
714
Lastpage
719
Abstract
Many specific algorithms and metaheuristics have been proposed for solving the DNA fragment assembly problem, but new algorithms with more capacity for solving this problem are necessary. The fragment assembly problem consists in building the DNA sequence from several hundreds (or even, thousands) of fragments obtained by biologists in the laboratory. This is an important task in any genome project since the rest of the phases depend on the accuracy of the results of this stage. In order to achieve this objective we propose a hybrid algorithm that achieves very accurate results in comparison with other metaheuristics.
Keywords
DNA; genetic algorithms; search problems; DNA fragment assembling problem; genetic algorithm operator; variable neighborhood search; Artificial neural networks; Assembly systems; Bioinformatics; DNA computing; Genetic algorithms; Genomics; Hybrid intelligent systems; Laboratories; Search methods; Sequences; DNA Fragment Assembling Problem; Genetic Algorithm; Variable Neighborhood Search;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on
Conference_Location
Barcelona
Print_ISBN
978-0-7695-3326-1
Electronic_ISBN
978-0-7695-3326-1
Type
conf
DOI
10.1109/HIS.2008.182
Filename
4626715
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