11 search results - page 1 / 3 » Automated Response Surface Methodology for Stochastic Optimi... |
WSC
2004
14 years 7 months ago
2004
Response Surface Methodology (RSM) is an optimization tool that was introduced in the early 50
WSC
2000
14 years 7 months ago
2000
We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology. The framework is especially intended for simulation models wh...
DSN
2005
IEEE
14 years 7 months ago
2005
IEEE
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 ...
LION
2007
Springer
15 years 6 hour ago
2007
Springer
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
WSC
2007
14 years 8 months ago
2007
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 ...