Το έργο με τίτλο A Self-Reconfiguring architecture supporting multiple objective functions in genetic algorithms από τον/τους δημιουργό/ούς Papaefstathiou Ioannis, Effraimidis C., Papadimitriou Kyprianos, Dollas Apostolos διατίθεται με την άδεια Creative Commons Αναφορά Δημιουργού 4.0 Διεθνές
Βιβλιογραφική Αναφορά
K. Papadimitriou, A. Dollas, I. Papaefstathiou, C. Effraimidis, "A self-reconfiguring architecture supporting multiple objective functions in genetic algorithms," in International Conference on Field Programmable Logic and Applications, 2009, pp. 453 - 456. doi: 10.1109/FPL.2009.5272482
https://doi.org/10.1109/FPL.2009.5272482
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.