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» Combining Response Surface Methodology with Numerical Models...
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DSN
2005
IEEE
13 years 6 months ago
Combining Response Surface Methodology with Numerical Models for Optimization of Class-Based Queueing Systems
In general, decision support is one of the main purposes of model-based analysis of systems. Response surface methodology (RSM) is an optimization technique that has been applied ...
Peter Kemper, Dennis Müller, Axel Thümml...
PE
2002
Springer
128views Optimization» more  PE 2002»
13 years 4 months ago
Response times in a two-node queueing network with feedback
The study presented in this paper is motivated by the performance analysis of response times in distributed information systems, where transactions are handled by iterative server...
Robert D. van der Mei, Bart Gijsen, N. in't Veld, ...
WSC
2008
13 years 7 months ago
Design Of Experiments: Overview
Design Of Experiments (DOE) is needed for experiments with real-life systems, and with either deterministic or random simulation models. This contribution discusses the different ...
Jack P. C. Kleijnen
WSC
1998
13 years 6 months ago
Use of Simulation in Optimization of Maintenance Policies
Selecting an optimum maintenance policy independent of other parameters of the production system does not always yield the overall optimum operating conditions. For instance, high...
Farhad Azadivar, J. Victor Shu
ICML
1998
IEEE
14 years 5 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...