Sciweavers

36 search results - page 1 / 8
» Analyzing heuristic performance with response surface models...
Sort
View
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 11 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko
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
FTEDA
2006
137views more  FTEDA 2006»
13 years 5 months ago
Statistical Performance Modeling and Optimization
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
Xin Li, Jiayong Le, Lawrence T. Pileggi
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
13 years 11 months ago
Screening the parameters affecting heuristic performance
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
Enda Ridge, Daniel Kudenko
WSC
2000
13 years 6 months ago
Analyzing transformation-based simulation metamodels
We present a technique for analyzing a simulation metamodel that has been constructed using a variancestabilizing transformation. To compute a valid confidence interval for the ex...
Maria de los A. Irizarry, Michael E. Kuhl, Emily K...