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AAAI
2006
13 years 10 months ago
2006
Planning under uncertainty has been well studied, but usually the uncertainty is in action outcomes. This work instead investigates uncertainty in the amount of time that actions ...
JORS
2011
2011
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
13 years 4 months ago
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
MANSCI
2008
13 years 9 months ago
2008
Value-at-Risk (VaR) is one of the most widely accepted risk measures in the financial and insurance industries, yet efficient optimization of VaR remains a very difficult problem....
TFS
2010
13 years 3 months ago
2010
At present, the development in the nascent field of synthetic gene networks is still difficult. Most newly created gene networks are nonfunctioning due to intrinsic parameter fluct...
CVPR
2003
IEEE
14 years 11 months ago
2003
IEEE