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WSC
2004
14 years 7 days ago
Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance
Response Surface Methodology (RSM) is an optimization tool that was introduced in the early 50
Robin P. Nicolai, Rommert Dekker, Nanda Piersma, G...
WSC
2000
14 years 6 days ago
A framework for Response Surface Methodology for simulation optimization
We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology. The framework is especially intended for simulation models wh...
H. Gonda Neddermeijer, Gerrit J. van Oortmarssen, ...
DSN
2005
IEEE
14 years 25 days 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...
LION
2007
Springer
192views Optimization» more  LION 2007»
14 years 5 months ago
Learning While Optimizing an Unknown Fitness Surface
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...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
WSC
2007
14 years 1 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