Optimization with missing data

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چکیده

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Optimization with missing data

Engineering optimization relies routinely on deterministic computer based design evaluations, typically comprising geometry creation, mesh generation and numerical simulation. Simple optimization routines tend to stall and require user intervention if a failure occurs at any of these stages. This motivated us to develop an optimization strategy based on surrogate modelling, which penalizes the ...

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ژورنال

عنوان ژورنال: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

سال: 2006

ISSN: 1364-5021,1471-2946

DOI: 10.1098/rspa.2005.1608