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PLDI
2006
ACM
14 years 1 months ago
Optimizing data permutations for SIMD devices
The widespread presence of SIMD devices in today’s microprocessors has made compiler techniques for these devices tremendously important. One of the most important and difficul...
Gang Ren, Peng Wu, David A. Padua
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
14 years 9 days ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
ICAC
2006
IEEE
14 years 1 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
GECCO
2010
Springer
193views Optimization» more  GECCO 2010»
14 years 9 days ago
Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comp
The choice of which of the available strategies should be used within the Differential Evolution algorithm for a given problem is not trivial, besides being problem-dependent and...
Álvaro Fialho, Marc Schoenauer, Michè...
ICRA
2007
IEEE
199views Robotics» more  ICRA 2007»
14 years 1 months ago
Automatic Outlier Detection: A Bayesian Approach
— In order to achieve reliable autonomous control in advanced robotic systems like entertainment robots, assistive robots, humanoid robots and autonomous vehicles, sensory data n...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal