CLAEYS-BRUNO, M.; DOBRIJEVIC, M.; CELA, R.; PHAN-TAN-LUU, R.; SERGENT, M.

doi:10.1016/j.chemolab.2010.12.001

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CLAEYS-BRUNO, M.
Institut des Sciences Moléculaires de Marseille [ISM2]

DOBRIJEVIC, M.
Laboratoire d'Astrophysique de Bordeaux [Pessac] [LAB]
Observatoire aquitain des sciences de l'univers [OASU]
Université Sciences et Technologies - Bordeaux 1 [UB]
Laboratoire d'astrodynamique, d'astrophysique et d'aéronomie de bordeaux [L3AB]

CELA, R.

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Chemometrics and Intelligent Laboratory Systems. 2011, vol. 105, n° 2, p. 137-146

Elsevier

Résumé en anglais

n this article, we apply supersaturated strategies to identify active factors in the field of numerical simulation. As the number of simulations is inferior to the number of studied factors, new resolution techniques are proposed and provide excellent results. Indeed, classical supersaturated treatments could not be applied to the high dimensional problem. We show that these designs are well adapted to the high dimensional problem while maintaining the number of simulations at reasonable levels. Very small-sized supersaturated designs show low reliability. Keywords: Hadamard matrix; Supersaturated designs; Screening; Computer experiments; Genetic algorithm; Sensitivity analysis< Réduire

Mots clés en anglais

Hadamard matrix

Supersaturated designs

Screening

Computer experiments

Genetic algorithm

Sensitivity analysis

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Supersaturated designs for computer experiments: Comparison of construction methods and new methods of treatment adapted to the high dimensional problem

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