Title :
Sensitivity Analysis on Bio-op Errors in DNA Computing
Author_Institution :
Dept. of Comput. Sci., Univ. of New Orleans, New Orleans, LA, USA
Abstract :
We simulate the biological operations of a DNA computational algorithm for a combinatorial problem. We then perform sensitivity analysis in which we vary bio-op error rates to see which bio-ops affect the end result. Finally, we review three approaches to tune the algorithm in order to minimize significant error.
Keywords :
biocomputing; computational complexity; error analysis; sensitivity analysis; DNA computational algorithm; DNA computing; bio-op errors; biological operations; combinatorial problem; sensitivity analysis; Analytical models; Biological information theory; Biological system modeling; Biology computing; Computational modeling; Concurrent computing; DNA computing; Distributed computing; Error analysis; Sensitivity analysis; Bio-op; Constant Volume Transformation; Good Encoding; Input Multiplexing; Sensitivity Analysis;
Conference_Titel :
Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, 2009. SNPD '09. 10th ACIS International Conference on
Conference_Location :
Daegu
Print_ISBN :
978-0-7695-3642-2
DOI :
10.1109/SNPD.2009.41
