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An extended library of hardware modules for genetic algorithms, with applications to DNA sequence matching

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2 Author(s)
Ramaswamy, H. ; Dept. of Electr. & Comput. Eng., Cincinnati Univ., Cincinnati, OH ; Purdy, Carla

Genetic algorithms (GAs) are intelligent search techniques based on the theory of evolution. Software GAs typically require a long processing time. The inherent parallelism in GAs motivates their implementation in hardware. This project extends an existing library of GA hardware modules and performs a comparative analysis of performance for various module choices. A sample architecture developed using the modules is applied to DNA sequence alignment and its performance is compared with the standard software algorithm ClustalW.

Published in:

Circuits and Systems, 2008. MWSCAS 2008. 51st Midwest Symposium on

Date of Conference:

10-13 Aug. 2008