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GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
14 years 11 days ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 11 days ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 9 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
DAC
2010
ACM
13 years 9 months ago
A correlation-based design space exploration methodology for multi-processor systems-on-chip
Given the increasing complexity of multi-processor systems-onchip, a wide range of parameters must be tuned to find the best trade-offs in terms of the selected system figures of ...
Giovanni Mariani, Aleksandar Brankovic, Gianluca P...
ISLPED
2010
ACM
170views Hardware» more  ISLPED 2010»
13 years 9 months ago
Low-power sub-threshold design of secure physical unclonable functions
The unique and unpredictable nature of silicon enables the use of physical unclonable functions (PUFs) for chip identification and authentication. Since the function of PUFs depen...
Lang Lin, Daniel E. Holcomb, Dilip Kumar Krishnapp...