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Conference papers
Robust minimax design from costly simulations.
Abstract : Design of complex physical systems most often relies on numerical simulations that may be extremely costly. In this paper, design is formalized as the optimization of a performance index with respect to control variables. Uncertainty is modeled via a vector of environmental variables that can take any value in a known compact set and may have an adverse effect on performance. In this context, the determination of a robust design requires the continuous minimax optimization of black-box functions. An algorithm combining Kriging-based optimization with relaxation is presented, which makes it possible to find approximate solutions to such problems on a limited computational budget. The design of a vibration absorber is presented as an illustrative example.
Keywords :
SYSTEMS
NUMERICAL SIMULATION
Cited literature [23 references]
https://hal-onera.archives-ouvertes.fr/hal-01059620
Contributor : Alain Broc Connect in order to contact the contributor
Submitted on : Monday, September 1, 2014 - 2:28:04 PM
Last modification on : Thursday, June 17, 2021 - 3:48:36 AM
Long-term archiving on: : Tuesday, December 2, 2014 - 10:25:53 AM
Contributor : Alain Broc Connect in order to contact the contributor
Submitted on : Monday, September 1, 2014 - 2:28:04 PM
Last modification on : Thursday, June 17, 2021 - 3:48:36 AM
Long-term archiving on: : Tuesday, December 2, 2014 - 10:25:53 AM
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DCPS13035.1379428027.pdf
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