Sciweavers

855 search results - page 48 / 171
» Embedded core testing using genetic algorithms
Sort
View
122
Voted
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 9 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
112
Voted
FPGA
2006
ACM
129views FPGA» more  FPGA 2006»
15 years 6 months ago
Power-aware RAM mapping for FPGA embedded memory blocks
Embedded memory blocks are important resources in contemporary FPGA devices. When targeting FPGAs, application designers often specify high-level memory functions which exhibit a ...
Russell Tessier, Vaughn Betz, David Neto, Thiagara...
117
Voted
WISES
2004
15 years 4 months ago
Embedded Real-Time-Tracer - An Approach with IDE
-- Debugging software that runs on highly integrated System-on-Chip devices is complicated because conventional debug tools (like traditional In-Circuit Emulators and Logic Analyze...
Babak Rahbaran, Matthias Függer, Andreas Stei...
120
Voted
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
15 years 7 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
141
Voted
CODES
2010
IEEE
15 years 18 days ago
Automatic parallelization of embedded software using hierarchical task graphs and integer linear programming
The last years have shown that there is no way to disregard the advantages provided by multiprocessor System-on-Chip (MPSoC) architectures in the embedded systems domain. Using mu...
Daniel Cordes, Peter Marwedel, Arindam Mallik