A Self-Reconfiguring architecture supporting multiple objective functions in genetic algorithms
- Παπαευσταθιου Ιωαννης(http://users.isc.tuc.gr/~ipapaefstathiou)
- Papaefstathiou Ioannis(http://users.isc.tuc.gr/~ipapaefstathiou)
- Effraimidis C.()
- Παπαδημητριου Κυπριανος(http://users.isc.tuc.gr/~kpapadimitriou)
- Papadimitriou Kyprianos(http://users.isc.tuc.gr/~kpapadimitriou)
- Δολλας Αποστολος(http://users.isc.tuc.gr/~adollas)
- Dollas Apostolos(http://users.isc.tuc.gr/~adollas)
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE)Abstract
Summarization: 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.Παρουσιάστηκε στο: International Conference on Field Programmable Logic and Applications, 200
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