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
Link To Document :
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