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GECCO
2009
Springer
140views Optimization» more  GECCO 2009»
13 years 10 months ago
AMaLGaM IDEAs in noisy black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noisy part of a benchmark introduced in 2009 called BBOB (B...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
CEC
2007
IEEE
13 years 11 months ago
On the adaptation of noise level for stochastic optimization
— This paper deals with the optimization of noisy fitness functions, where the noise level can be reduced by increasing the computational effort. We theoretically investigate th...
Olivier Teytaud, Anne Auger
CORR
2007
Springer
123views Education» more  CORR 2007»
13 years 5 months ago
On Distributed Computation in Noisy Random Planar Networks
THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD. We consider distributed computation of functions of distributed data in random planar networks with noisy wireless links. We pre...
Yashodhan Kanoria, D. Manjunath
CCE
2007
13 years 5 months ago
Adaptive optimisation of noisy black-box functions inherent in microscopic models
For systems where exact constitutive relations are unknown, a microscopic level description can be alternatively used. As microscopic simulations are computationally expensive, th...
Eddie Davis, Marianthi G. Ierapetritou
TIP
2008
113views more  TIP 2008»
13 years 5 months ago
Phase Local Approximation (PhaseLa) Technique for Phase Unwrap From Noisy Data
The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in o...
Vladimir Katkovnik, Jaakko Astola, Karen O. Egiaza...