- title = "Hardware Accelerators for Cartesian Genetic Programming",
- author = "Zdenek Vasicek and Lukas Sekanina",
- booktitle = "Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008",
- year = "2008",
- editor = "Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel {Esparcia Alcazar} and Ivanoe {De Falco} and Antonio {Della Cioppa} and Ernesto Tarantino",
- address = "Naples",
- month = "26-28 " # mar,
- publisher = "Springer",
- volume = "4971",
- series = "Lecture Notes in Computer Science",
- pages = "230--241",
- keywords = "genetic algorithms, genetic programming, cartesian genetic programming",
- isbn13 = "978-3-540-78670-2",
- bibdate = "2008-04-15",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/eurogp/eurogp2008.html#VasicekS08",
-
URL = "
https://www.fit.vut.cz/research/publication/8590/",
-
DOI = "
10.1007/978-3-540-78671-9_20",
- size = "12 pages",
- abstract = "A new class of FPGA-based accelerators is presented for Cartesian Genetic Programming (CGP). The accelerators contain a genetic engine which is reused in all applications. Candidate programs (circuits) are evaluated using application-specific virtual reconfigurable circuit (VRC) and fitness unit. Two types of VRCs are proposed. The first one is devoted for symbolic regression problems over the fixed point representation. The second one is designed for evolution of logic circuits. In both cases a significant speedup of evolution (30 to 40 times) was obtained in comparison with a highly optimised software implementation of CGP. This speedup can be increased by creating multiple fitness units.",
-
notes = "Faculty of Information Technology, Brno University of
Technology, Czech Republic
Part of \cite{conf/eurogp/2008} EuroGP'2008 held in conjunction with EvoCOP2008, EvoBIO2008 and EvoWorkshops2008",
