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A Multi-Fidelity Kriging-Based Experiment Optimization Framework with an Augmented Lagrangian Method for Distributed Optimal Design.

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Bibliographic Details
Title: A Multi-Fidelity Kriging-Based Experiment Optimization Framework with an Augmented Lagrangian Method for Distributed Optimal Design.
Authors: Zhang, Shixuan1, Ma, Jie1,2, mj_csc@163.com
Source: Aerospace (MDPI Publishing); Jun2026, Vol. 13 Issue 6, p503, 29p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194909507
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Multi-Fidelity Kriging-Based Experiment Optimization Framework with an Augmented Lagrangian Method for Distributed Optimal Design.
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  Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Shixuan%22">Zhang, Shixuan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ma%2C+Jie%22">Ma, Jie</searchLink><relatesTo>1,2</relatesTo>, <i>mj_csc@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Aerospace+%28MDPI+Publishing%29%22">Aerospace (MDPI Publishing)</searchLink>; Jun2026, Vol. 13 Issue 6, p503, 29p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194909507
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        Value: 10.3390/aerospace13060503
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      – Code: eng
        Text: English
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        PageCount: 29
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      – TitleFull: A Multi-Fidelity Kriging-Based Experiment Optimization Framework with an Augmented Lagrangian Method for Distributed Optimal Design.
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              Text: Jun2026
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              Y: 2026
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