11 search results - page 1 / 3 » Automated Response Surface Methodology for Stochastic Optimi... |
WSC
2004
13 years 6 months ago
2004
Response Surface Methodology (RSM) is an optimization tool that was introduced in the early 50
WSC
2000
13 years 6 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
13 years 6 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
13 years 11 months 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
13 years 7 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 ...