| 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 |