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ACG
2006
Springer
16 years 13 days ago
RSPSA: Enhanced Parameter Optimization in Games
Most game programs have a large number of parameters that are crucial for their performance. Tuning these parameters by hand is rather difficult. Therefore automatic optimization a...
Levente Kocsis, Csaba Szepesvári, Mark H. M...
AUTOMATICA
2006
152views more  AUTOMATICA 2006»
15 years 6 months ago
Simulation-based optimization of process control policies for inventory management in supply chains
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 6 months ago
On optimal quantization rules for some sequential decision problems
We consider the problem of sequential decentralized detection, a problem that entails several interdependent choices: the choice of a stopping rule (specifying the sample size), a...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
FS
2006
84views more  FS 2006»
15 years 6 months ago
Iterative construction of the optimal Bermudan stopping time
Abstract. We present an iterative procedure for computing the optimal Bermudan stopping time, hence the Bermudan Snell envelope. The method produces an increasing sequence of appro...
Anastasia Kolodko, John Schoenmakers
MANSCI
2008
122views more  MANSCI 2008»
15 years 6 months ago
Incorporating Asymmetric Distributional Information in Robust Value-at-Risk Optimization
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....
Karthik Natarajan, Dessislava Pachamanova, Melvyn ...