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» A splitting method for stochastic programs
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BMCBI
2004
133views more  BMCBI 2004»
13 years 7 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 1 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 9 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
WCE
2007
13 years 8 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
MSWIM
2005
ACM
14 years 1 months ago
The optimal choice of encoding parameters for MPEG-4 AAC streamed over wireless networks
This paper addresses a novel linear programming based approach to optimize the choice of the encoding parameters for the MPEG-4 AAC audio codec. Current techniques solve the encod...
Claus Bauer