187 search results - page 23 / 38 » Hedging Uncertainty: Approximation Algorithms for Stochastic... |
ML
2002
ACM
14 years 9 months ago
2002
ACM
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
COR
2008
14 years 9 months ago
2008
-- The optimal buffer allocation in queueing network systems is a difficult stochastic, non-linear, integer mathematical programming problem. Moreover, the objective function, the ...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
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CORR
2011
Springer
14 years 1 months ago
2011
Springer
Since the electricity bill of a data center constitutes a significant portion of its overall operational costs, reducing this has become important. We investigate cost reduction o...
IPCO
2007
14 years 11 months ago
2007
Following the well-studied two-stage optimization framework for stochastic optimization [15, 18], we study approximation algorithms for robust two-stage optimization problems with ...