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GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
14 years 1 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
APNOMS
2006
Springer
13 years 11 months ago
"P4L": A Four Layers P2P Model for Optimizing Resources Discovery and Localization
Peer-to-Peer systems are based on the concept of resources localization and mutualization in dynamic context. In specific environment such as mobile networks, characterized by high...
Mourad Amad, Ahmed Meddahi
PR
2007
151views more  PR 2007»
13 years 7 months ago
Learning to display high dynamic range images
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Guoping Qiu, Jiang Duan, Graham D. Finlayson
CORR
2011
Springer
209views Education» more  CORR 2011»
12 years 11 months ago
Close the Gaps: A Learning-while-Doing Algorithm for a Class of Single-Product Revenue Management Problems
In this work, we consider a retailer selling a single product with limited on-hand inventory over a finite selling season. Customer demand arrives according to a Poisson process,...
Zizhuo Wang, Shiming Deng, Yinyu Ye
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...