Abstract:
Genetic algorithms (GA) are search algorithms based on the mechanism of natural selection and genetics. FPGAs have been widely used to implement hardware-based genetic al...Show MoreMetadata
Abstract:
Genetic algorithms (GA) are search algorithms based on the mechanism of natural selection and genetics. FPGAs have been widely used to implement hardware-based genetic algorithms (HGA) and have provided speedups of up to three orders of magnitude as compared to their software counterparts. In this paper, we propose a parameterized partially reconfigurable HGA architecture (PPR-HGA). The novelty of this architecture is that it allows for the objective function to be updated through partial reconfiguration, and supports various genetic parameters.
Date of Conference: 31 August 2009 - 02 September 2009
Date Added to IEEE Xplore: 29 September 2009
CD:978-1-4244-3892-1
ISSN Information:
Department of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
Department of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
Department of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
Department of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
Contents Department of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
Department of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
Department of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
Department of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
