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ISQED
2009
IEEE
112views Hardware» more  ISQED 2009»
15 years 4 months ago
Estimation and optimization of reliability of noisy digital circuits
— With continued scaling, reliability is emerging as a critical challenge for the designers of digital circuits. The challenge stems in part from the lack of computationally efï¬...
Satish Sivaswamy, Kia Bazargan, Marc D. Riedel
EMO
2006
Springer
219views Optimization» more  EMO 2006»
15 years 1 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
86
Voted
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 3 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
15 years 3 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
DAC
1999
ACM
15 years 10 months ago
A Practical Gate Resizing Technique Considering Glitch Reduction for Low Power Design
We propose a method for power optimization that considers glitch reduction by gate sizing based on the statistical estimation of glitch transitions. Our method reduces not only th...
Masanori Hashimoto, Hidetoshi Onodera, Keikichi Ta...