Surrogate-model accelerated random search algorithm for global optimization with applications to inverse material identification
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Publication:1033337
DOI10.1016/J.CMA.2007.05.013zbMath1173.74368OpenAlexW2080769275WikidataQ126254816 ScholiaQ126254816MaRDI QIDQ1033337
Wilkins Aquino, John C. Brigham
Publication date: 6 November 2009
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2007.05.013
Inverse problems in equilibrium solid mechanics (74G75) Optimization of other properties in solid mechanics (74P10) Inverse problems for waves in solid mechanics (74J25)
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Cites Work
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- Constrained global optimization of expensive black box functions using radial basis functions
- Self-learning finite elements for inverse estimation of thermal constitutive models
- A method of global random search in inverse problems with application to the problem of recognizing the shape of a defect
- Back analysis of model parameters in geotechnical engineering by means of soft computing
- Nondestructive evaluation of materials using pulsed microwave interrogating signals and acoustic wave induced reflections
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