RNA Folding Dynamics: Computer Simulations by a Genetic Algorithm

Author(s):  
A. P. Gultyaev ◽  
F. H. D. van Batenburg ◽  
C. W. A. Pleij
2004 ◽  
Vol 37 (17) ◽  
pp. 4731-4741 ◽  
Author(s):  
Michael T Wolfinger ◽  
W Andreas Svrcek-Seiler ◽  
Christoph Flamm ◽  
Ivo L Hofacker ◽  
Peter F Stadler

Author(s):  
Hisao Ishibuchi ◽  
◽  
Tomoharu Nakashima

This paper proposes a genetic-algorithm-based approach for finding a compact reference set in nearest neighbor classification. The reference set is designed by selecting a small number of reference patterns from a large number of training patterns using a genetic algorithm. The genetic algorithm also removes unnecessary features. The reference set in our nearest neighbor classification consists of selected patterns with selected features. A binary string is used for representing the inclusion (or exclusion) of each pattern and feature in the reference set. Our goal is to minimize the number of selected patterns, to minimize the number of selected features, and to maximize the classification performance of the reference set. Computer simulations on commonly used data sets examine the effectiveness of our approach.


1997 ◽  
Vol 56 (1) ◽  
pp. 927-930 ◽  
Author(s):  
Ariel Fernández ◽  
Gustavo A. Appignanesi ◽  
Ruben A. Montani
Keyword(s):  

2012 ◽  
Vol 2 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Raymond Z. Cui ◽  
Daniel-Adriano Silva ◽  
Jian Song ◽  
Gregory R. Bowman ◽  
Wei Zhuang ◽  
...  

RNA ◽  
2015 ◽  
Vol 21 (4) ◽  
pp. 723-724
Author(s):  
Rick Russell
Keyword(s):  

2012 ◽  
Vol 2 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Raymond Z. Cui ◽  
Daniel-Adriano Silva ◽  
Jian Song ◽  
Gregory R. Bowman ◽  
Wei Zhuang ◽  
...  

1999 ◽  
Vol 60 (5) ◽  
pp. 5888-5893
Author(s):  
Ariel Fernández ◽  
Teresita Burastero ◽  
Rodolfo Salthú ◽  
Ana Tablar

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