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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. Key Words and Phrases: genetic algorithms; design of experiments; response surface methods; DNA... (Update)
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...Sinica, 659] AIAA Journal, 230] AIAA Journal on Disc, 233] Al. Mag. 740] American Journal of Mathematical and Management Sciences, [601] American Journal of Physics, 127, 364] Anal. Lett. 384] Analytica Chimica Acta, 264, 423, 106, 1114, 1120, 107, 108, 335, 341, 343,...
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BibTeX entry: (Update)
Rebecca J. Parsons and Mark E. Johnson. A case study in experimental design applied to genetic algorithms with applications to DNA sequence assembly. American Journal of Mathematical and Management Sciences, 17(3-4):369-396, ? 1997. ga97aRJParsons. http://citeseer.ist.psu.edu/parsons97case.html More
@misc{ parsons97case,
author = "R. Parsons and M. Johnson",
title = "A case study in experimental design applied to genetic algorithms with
applications to DNA sequence assembly",
text = "Rebecca J. Parsons and Mark E. Johnson. A case study in experimental design
applied to genetic algorithms with applications to DNA sequence assembly.
American Journal of Mathematical and Management Sciences, 17(3-4):369-396,
? 1997. ga97aRJParsons.",
year = "1997",
url = "citeseer.ist.psu.edu/parsons97case.html" }
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DNA Sequence Assembly and Genetic Algorithms - New Results And (Correct)
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