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» Embedded core testing using genetic algorithms
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CEC
2007
IEEE
15 years 6 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
DATE
2004
IEEE
122views Hardware» more  DATE 2004»
15 years 3 months ago
Phase Coupled Code Generation for DSPs Using a Genetic Algorithm
The growing use of digital signal processors (DSPs) in embedded systems necessitates the use of optimizing compilers supporting special hardware features. Due to the irregular arc...
Markus Lorenz, Peter Marwedel
VLSID
2008
IEEE
122views VLSI» more  VLSID 2008»
15 years 6 months ago
Implementing the Best Processor Cores
It is well-known that varying architectural, technological and implementation aspects of embedded microprocessors, such as ARM, can produce widely differing performance and power ...
Vamsi Boppana, Rahoul Varma, S. Balajee
ISSS
2002
IEEE
125views Hardware» more  ISSS 2002»
15 years 4 months ago
Security-Driven Exploration of Cryptography in DSP Cores
With the popularity of wireless communication devices a new important dimension of embedded systems design has arisen, that of security. This paper presents for the first time des...
Catherine H. Gebotys
CEC
2008
IEEE
15 years 6 months ago
A contour method in population-based stochastic algorithms
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Ying Lin, Jun Zhang, Lu-kai Lan