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» Single Run Optimization Using the Reverse-Simulation Method
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EGC
2005
Springer
15 years 8 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
115
Voted
ICIP
2010
IEEE
15 years 18 days ago
Fast bilateral filtering by adapting block size
Direct implementations of bilateral filtering show O(r2 ) computational complexity per pixel, where r is the filter window radius. Several lower complexity methods have been devel...
Wei Yu, Franz Franchetti, James C. Hoe, Yao-Jen Ch...
134
Voted
CPHYSICS
2006
127views more  CPHYSICS 2006»
15 years 2 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
ISCA
2008
IEEE
132views Hardware» more  ISCA 2008»
15 years 9 months ago
Online Estimation of Architectural Vulnerability Factor for Soft Errors
As CMOS technology scales and more transistors are packed on to the same chip, soft error reliability has become an increasingly important design issue for processors. Prior resea...
Xiaodong Li, Sarita V. Adve, Pradip Bose, Jude A. ...
114
Voted
IPPS
2003
IEEE
15 years 8 months ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...