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» Flexible implementation of genetic algorithms on FPGAs
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ICDE
2010
IEEE
248views Database» more  ICDE 2010»
14 years 5 months ago
FPGA Acceleration for the Frequent Item Problem
Abstract-- Field-programmable gate arrays (FPGAs) can provide performance advantages with a lower resource consumption (e.g., energy) than conventional CPUs. In this paper, we show...
Gustavo Alonso, Jens Teubner, René Mül...
ALIFE
2007
13 years 5 months ago
Evolving Virtual Creatures and Catapults
We present a system that can evolve the morphology and the controller of virtual walking and block-throwing creatures (catapults) using a genetic algorithm. The system is based on ...
Nicolas Chaumont, Richard Egli, Christoph Adami
PREMI
2005
Springer
13 years 10 months ago
Systematically Evolving Configuration Parameters for Computational Intelligence Methods
The configuration of a computational intelligence (CI) method is responsible for its intelligence (e.g. tolerance, flexibility) as well as its accuracy. In this paper, we investiga...
Jason M. Proctor, Rosina Weber
JRTIP
2008
118views more  JRTIP 2008»
13 years 5 months ago
Custom parallel caching schemes for hardware-accelerated image compression
Abstract In an effort to achieve lower bandwidth requirements, video compression algorithms have become increasingly complex. Consequently, the deployment of these algorithms on Fi...
Su-Shin Ang, George A. Constantinides, Wayne Luk, ...
BMCBI
2010
134views more  BMCBI 2010»
13 years 5 months ago
ScreenMill: A freely available software suite for growth measurement, analysis and visualization of high-throughput screen data
Background: Many high-throughput genomic experiments, such as Synthetic Genetic Array and yeast two-hybrid, use colony growth on solid media as a screen metric. These experiments ...
John C. Dittmar, Robert J. D. Reid, Rodney Rothste...