URI | http://purl.tuc.gr/dl/dias/A7952FD6-E348-4CD9-B005-0ED3BA1584E0 | - |
Identifier | https://doi.org/10.1109/FPL.2009.5272482 | - |
Identifier | http://users.isc.tuc.gr/~kpapadimitriou/publications/SelfReconfGA-fpl2009.pdf | - |
Language | en | - |
Extent | 4 pages | en |
Title | A Self-Reconfiguring architecture supporting multiple objective functions in genetic algorithms | en |
Creator | Papaefstathiou Ioannis | en |
Creator | Παπαευσταθιου Ιωαννης | el |
Creator | Effraimidis C. | en |
Creator | Papadimitriou Kyprianos | en |
Creator | Παπαδημητριου Κυπριανος | el |
Creator | Dollas Apostolos | en |
Creator | Δολλας Αποστολος | el |
Publisher | Institute of Electrical and Electronics Engineers | en |
Content Summary | 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. | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-11-15 | - |
Date of Publication | 2009 | - |
Subject | Γενετικοί αλγόριθμοι | el |
Subject | Genetic algorithms | en |
Bibliographic Citation | 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 | en |