Evolutionary Approaches to DNA Sequencing with Errors

Jacek Blazewicz (), Fred Glover and Marta Kasprzak

Annals of Operations Research, 2005, vol. 138, issue 1, 67-78

Abstract: 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. Copyright Springer Science + Business Media, Inc. 2005

Keywords: DNA sequencing by hybridization; genetic algorithm; tabu search (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1007/s10479-005-2445-2

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