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GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
14 years 3 months ago
An extremal optimization search method for the protein folding problem: the go-model example
The protein folding problem consists of predicting the functional (native) structure of the protein given its linear sequence of amino acids. Despite extensive progress made in un...
Alena Shmygelska
CEC
2008
IEEE
14 years 3 months ago
Generating massive high-quality random numbers using GPU
— Pseudo-random number generators (PRNG) have been intensively used in many stochastic algorithms in artificial intelligence, computer graphics and other scientific computing. ...
Wai-Man Pang, Tien-Tsin Wong, Pheng-Ann Heng
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
14 years 2 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
CVPR
2008
IEEE
14 years 11 months ago
Local minima free Parameterized Appearance Models
Parameterized Appearance Models (PAMs) (e.g. Eigentracking, Active Appearance Models, Morphable Models) are commonly used to model the appearance and shape variation of objects in...
Minh Hoai Nguyen, Fernando De la Torre
ALGORITHMICA
2011
13 years 27 days ago
Average Rate Speed Scaling
Speed scaling is a power management technique that involves dynamically changing the speed of a processor. This gives rise to dual-objective scheduling problems, where the operati...
Nikhil Bansal, David P. Bunde, Ho-Leung Chan, Kirk...