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WSC
2008
15 years 14 days ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
EVOW
2006
Springer
15 years 1 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
BMCBI
2011
14 years 5 months ago
The impact of quantitative optimization of hybridization conditions on gene expression analysis
Background: With the growing availability of entire genome sequences, an increasing number of scientists can exploit oligonucleotide microarrays for genome-scale expression studie...
Peter Sykacek, David P. Kreil, Lisa A. Meadows, Ri...
DASFAA
2009
IEEE
252views Database» more  DASFAA 2009»
15 years 5 months ago
Optimal Privacy-Aware Path in Hippocratic Databases
Abstract. Privacy becomes a major concern for both customers and enterprises in today’s corporate marketing strategies, many research efforts have been put into developing new p...
Min Li, Xiaoxun Sun, Hua Wang, Yanchun Zhang
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INFOCOM
2012
IEEE
13 years 18 days ago
CARPO: Correlation-aware power optimization in data center networks
—Power optimization has become a key challenge in the design of large-scale enterprise data centers. Existing research efforts focus mainly on computer servers to lower their ene...
Xiaodong Wang, Yanjun Yao, Xiaorui Wang, Kefa Lu, ...