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CVPR
2009
IEEE
16 years 4 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
WSC
1997
15 years 7 months ago
An Integrated Framework for Deterministic and Stochastic Optimization
In recent articles we presented a general methodology for finite optimization. The new method, the Nested Partitions (NP) method, combines partitioning, random sampling, a select...
Leyuan Shi, Sigurdur Ólafsson
IOR
2006
118views more  IOR 2006»
15 years 6 months ago
A Stochastic Programming Approach to Power Portfolio Optimization
The DASH model for Power Portfolio Optimization provides a tool which helps decision-makers coordinate production decisions with opportunities in the wholesale power market. The m...
Suvrajeet Sen, Lihua Yu, Talat Genc
WSC
2000
15 years 7 months ago
Simulation optimization of stochastic systems with integer variables by sequential linearization
Discrete-event simulation is widely used to analyse and improve the performance of manufacturing systems. The related optimization problem often includes integer design variables ...
S. J. Abspoel, L. F. P. Etman, J. Vervoort, J. E. ...
CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 6 months ago
Optimization and Convergence of Observation Channels in Stochastic Control
This paper studies the optimization of observation channels (stochastic kernels) in partially observed stochastic control problems. In particular, existence, continuity, and convex...
Serdar Yüksel, Tamás Linder