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Advances in Artificial Intelligence
Volume 2012 (2012), Article ID 674832, 19 pages
http://dx.doi.org/10.1155/2012/674832
Research Article

Basin Hopping as a General and Versatile Optimization Framework for the Characterization of Biological Macromolecules

1Department of Computer Science, George Mason University, Fairfax, VA 22030, USA
2Department of Bioengineering, George Mason University, Fairfax, VA 22030, USA

Received 29 June 2012; Revised 23 September 2012; Accepted 19 October 2012

Academic Editor: Zhiyuan Luo

Copyright © 2012 Brian Olson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Brian Olson, Irina Hashmi, Kevin Molloy, and Amarda Shehu, “Basin Hopping as a General and Versatile Optimization Framework for the Characterization of Biological Macromolecules,” Advances in Artificial Intelligence, vol. 2012, Article ID 674832, 19 pages, 2012. doi:10.1155/2012/674832