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» Discrete stochastic optimization using linear interpolation
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DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 3 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
SIAMJO
2008
97views more  SIAMJO 2008»
13 years 8 months ago
New Formulations for Optimization under Stochastic Dominance Constraints
Stochastic dominance constraints allow a decision-maker to manage risk in an optimization setting by requiring their decision to yield a random outcome which stochastically domina...
James Luedtke
CDC
2009
IEEE
130views Control Systems» more  CDC 2009»
14 years 19 days ago
Mixed linear system estimation and identification
We consider a mixed linear system model, with both continuous and discrete inputs and outputs, described by a coefficient matrix and a set of noise variances. When the discrete inp...
Argyrios Zymnis, Stephen P. Boyd, Dimitry M. Gorin...
ANOR
2006
59views more  ANOR 2006»
13 years 8 months ago
The empirical behavior of sampling methods for stochastic programming
Abstract. We investigate the quality of solutions obtained from sample-average approximations to two-stage stochastic linear programs with recourse. We use a recently developed sof...
Jeff Linderoth, Alexander Shapiro, Stephen Wright
IEEEARES
2006
IEEE
14 years 2 months ago
Diagnosis of Complex Systems Using Ant Colony Decision Petri Nets
Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...