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WSC
2004
13 years 6 months ago
A Generalized Multiple Response Surface Methodology for Complex Computer Simulation Applications
This work provides a generalization of the traditional response surface methodology (RSM) that can be applied to complex, multi-objective simulation studies. These problems involv...
Jeffrey B. Schamburg, Donald E. Brown
DAC
2008
ACM
14 years 6 months ago
Predictive design space exploration using genetically programmed response surfaces
Exponential increases in architectural design complexity threaten to make traditional processor design optimization techniques intractable. Genetically programmed response surface...
Henry Cook, Kevin Skadron
DSN
2005
IEEE
13 years 7 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...
WSC
2007
13 years 7 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
WSC
2001
13 years 6 months ago
Implementation of response surface methodology using variance reduction techniques in semiconductor manufacturing
Semiconductor manufacturing is generally considered a cyclic industry. As such, individual producers able to react quickly and appropriately to market conditions will have a compe...
Charles D. McAllister, Bertan Altuntas, Matthew Fr...