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A Self-Reconfiguring architecture supporting multiple objective functions in genetic algorithms

Papaefstathiou Ioannis, Effraimidis C., Papadimitriou Kyprianos, Dollas Apostolos

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URIhttp://purl.tuc.gr/dl/dias/A7952FD6-E348-4CD9-B005-0ED3BA1584E0-
Identifierhttps://doi.org/10.1109/FPL.2009.5272482-
Identifierhttp://users.isc.tuc.gr/~kpapadimitriou/publications/SelfReconfGA-fpl2009.pdf-
Languageen-
Extent4 pagesen
TitleA Self-Reconfiguring architecture supporting multiple objective functions in genetic algorithmsen
CreatorPapaefstathiou Ioannisen
CreatorΠαπαευσταθιου Ιωαννηςel
CreatorEffraimidis C.en
CreatorPapadimitriou Kyprianosen
CreatorΠαπαδημητριου Κυπριανοςel
CreatorDollas Apostolosen
CreatorΔολλας Αποστολοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryGenetic 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 ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-15-
Date of Publication2009-
SubjectΓενετικοί αλγόριθμοιel
SubjectGenetic algorithmsen
Bibliographic CitationK. 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.2009.5272482en

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