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• W2013804533 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." @default.
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• W2013804533 date "2009-08-01" @default.
• W2013804533 modified "2023-10-16" @default.
• W2013804533 title "A self-reconfiguring architecture supporting multiple objective functions in genetic algorithms" @default.
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• W2013804533 doi "https://doi.org/10.1109/fpl.2009.5272482" @default.
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