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Evolutionary approaches to DNA sequencing with errors

delete2005-09-01
delete11
PRE
AI
J
Jacek Błażewicz *
F
Fred Glover
M
Marta Kasprzak
DOI：10.1007/s10479-005-2445-2delete
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Abstract

Abstract

En 中文
In the paper, two evolutionary approaches to the general DNA sequencing problem, assuming both negative and positive errors in the spectrum, are compared. The older of them is based on the idea of genetic approach and is enhanced by a greedy algorithm. The newly proposed algorithm combines the tabu search and the scatter search methods. After conducting experiments with random and coding DNA sequences, our results suggest that the tabu and scatter search algorithm finds solutions of higher quality and more reliably than the genetic algorithm.
Keywords:
DNA sequencing by hybridization
genetic algorithm
tabu search

Journal

Annals of Operations Research cover
Annals of Operations Research
IF:
4.5
Papers:
8.0K
Citations:
2.1W

Organization

No organization information available