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» Hardware Accelerators for Cartesian Genetic Programming
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EUROGP
2008
Springer
128views Optimization» more  EUROGP 2008»
13 years 7 months ago
Hardware Accelerators for Cartesian Genetic Programming
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. Candidat...
Zdenek Vasícek, Lukás Sekanina
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 6 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
ICES
2010
Springer
148views Hardware» more  ICES 2010»
13 years 3 months ago
An Efficient Selection Strategy for Digital Circuit Evolution
In this paper, we propose a new modification of Cartesian Genetic Programming (CGP) that enables to optimize digital circuits more significantly than standard CGP. We argue that co...
Zbysek Gajda, Lukás Sekanina
EH
2004
IEEE
107views Hardware» more  EH 2004»
13 years 9 months ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan
INFOSCALE
2006
ACM
13 years 11 months ago
Scalable hardware accelerator for comparing DNA and protein sequences
Abstract— Comparing genetic sequences is a well-known problem in bioinformatics. Newly determined sequences are being compared to known sequences stored in databases in order to ...
Philippe Faes, Bram Minnaert, Mark Christiaens, Er...