Title

A case study in experimental design applied to genetic algorithms with applications to DNA sequence assembly

Keywords

Design of experiments; DNA sequence assembly; Genetic algorithms; Response surface methods

Abstract

Experimental design and response surface methodology is applied to tuning the parameters of an optimization program employing genetic algorithms. Attention is directed to the combinatorially challenging DNA sequence assembly problem. Fine tuning of a 10K size test problem leads to a considerably improved solution to a 35K problem of sequence assembly that is of significant biological interest. © 1997, Taylor & Francis Group, LLC. All rights reserved.

Publication Date

1-1-1997

Publication Title

American Journal of Mathematical and Management Sciences

Volume

17

Issue

3-4

Number of Pages

369-396

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/01966324.1997.10737444

Socpus ID

0031386476 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0031386476

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