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» Optimization by Stochastic Continuation
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WSC
2000
13 years 9 months ago
A framework for Response Surface Methodology for simulation optimization
We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology. The framework is especially intended for simulation models wh...
H. Gonda Neddermeijer, Gerrit J. van Oortmarssen, ...
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
14 years 2 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
CCE
2008
13 years 7 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
MOR
2007
149views more  MOR 2007»
13 years 7 months ago
LP Rounding Approximation Algorithms for Stochastic Network Design
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
Anupam Gupta, R. Ravi, Amitabh Sinha
CCGRID
2009
IEEE
14 years 2 months ago
Performance under Failures of DAG-based Parallel Computing
— As the scale and complexity of parallel systems continue to grow, failures become more and more an inevitable fact for solving large-scale applications. In this research, we pr...
Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, B...