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JORS
2011
2011
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
14 years 6 months ago
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
ICRA
2005
IEEE
15 years 5 months ago
2005
IEEE
— This paper addresses the problem of estimating the parameters of the advection-diffusion equation, which describes the propagation of an instantaneously released gas. A team of...
GECCO
2006
Springer
15 years 3 months ago
2006
Springer
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
WSC
2007
15 years 2 months ago
2007
Metamodels are functions with calibrated parameters, used actions and simplifications of the simulation model. A metamodel exposes the system’s input-output relationship and ca...
107
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CDC
2008
IEEE
15 years 6 months ago
2008
IEEE
In this paper we study a class of uncertain linear estimation problems in which the data are affected by random uncertainty. In this setting, we consider two estimation criteria,...