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A Case Study In Experimental Design Applied To Genetic Algorithms With Applications To DNA Sequence Assembly (1997)
| Venue: | American Journal of Mathematical and Management Sciences |
| Citations: | 11 - 0 self |
BibTeX
@ARTICLE{Parsons97acase,
author = {Rebecca Parsons and Mark E. Johnson},
title = {A Case Study In Experimental Design Applied To Genetic Algorithms With Applications To DNA Sequence Assembly},
journal = {American Journal of Mathematical and Management Sciences},
year = {1997},
volume = {17},
pages = {369--396}
}
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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 sequence assembly. R.J. PARSONS & M.E. JOHNSON 1. Introduction Design and analysis of experiments and response surface methods have prospered in this century through successful applications in agriculture initially and in industry in more recent decades. Great strides in the development of these methods have taken place owing to improvements in computing capability. Although the semiconductor industry upon which our computing platforms depend has particularly benefited from design of experiments and ...
Keyphrases
genetic algorithm sequence assembly case study experimental design applied response surface method semiconductor industry r.j. parson m.e. johnson significant biological interest challenging dna sequence assembly problem introduction design experimental design fine tuning response surface methodology dna sequence assembly size test problem successful application optimization program recent decade key word
