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» Response surface methodology for constrained simulation opti...
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DAC
2008
ACM
11 years 5 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
WSC
2004
10 years 5 months ago
Optimization by Simulation Metamodelling Methods
We consider how simulation metamodels can be used to optimize the performance of a system that depends on a number of factors. We focus on the situation where the number of simula...
Russell C. H. Cheng, Christine S. M. Currie
WSC
2007
10 years 6 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
1998
10 years 5 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
DAC
2010
ACM
10 years 4 months ago
A correlation-based design space exploration methodology for multi-processor systems-on-chip
Given the increasing complexity of multi-processor systems-onchip, a wide range of parameters must be tuned to find the best trade-offs in terms of the selected system figures of ...
Giovanni Mariani, Aleksandar Brankovic, Gianluca P...
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