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Engineering Optimization Volume 44, 2012 - Issue 1
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Original Articles

Hybrid and adaptive meta-model-based global optimization

J. Gu State Key Lab of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China; Department of Mechanical Engineering, University of Victoria, British Columbia, CanadaCorrespondence[email protected]
,
G. Y. Li State Key Lab of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China
&
Z. Dong Department of Mechanical Engineering, University of Victoria, British Columbia, Canada
Pages 87-104 | Received 18 Feb 2010, Accepted 02 Feb 2011, Published online: 05 Jul 2011

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Wenjie Wang, Zeping Wu, Donghui Wang, Pengyu Wang, Weihua Zhang, Patrick N. Okolo & Gareth J. Bennett. (2022) Surrogate-based optimization with adaptive parallel infill strategy enhanced by inaccurate multi-objective search. Engineering Optimization 54:8, pages 1356-1373.
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Jiawei Yang, Zeping Wu, Wenjie Wang, Weihua Zhang, Hailong Zhao & Jingbo Sun. (2022) A surrogate-based optimization method for mixed-variable aircraft design. Engineering Optimization 54:1, pages 113-133.
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Zachary Cosenza & David E. Block. (2021) A generalizable hybrid search framework for optimizing expensive design problems using surrogate models. Engineering Optimization 53:10, pages 1772-1785.
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Yaohui Li, Shuting Wang & Yizhong Wu. (2020) Kriging-based unconstrained global optimization through multi-point sampling. Engineering Optimization 52:6, pages 1082-1095.
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Abdulbaset Saad, Zuomin Dong, Brad Buckham, Curran Crawford, Adel Younis & Meysam Karimi. (2019) A new Kriging–Bat Algorithm for solving computationally expensive black-box global optimization problems. Engineering Optimization 51:2, pages 265-285.
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Jichao Gu, Guangyao Li & Nianfei Gan. (2017) Hybrid metamodel-based design space management method for expensive problems. Engineering Optimization 49:9, pages 1573-1588.
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Pengcheng Ye & Guang Pan. (2017) Global optimization method using adaptive and parallel ensemble of surrogates for engineering design optimization. Optimization 66:7, pages 1135-1155.
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Pengcheng Ye & Guang Pan. (2015) A novel sequential approximate optimization approach using data mining for engineering design optimization. Optimization Methods and Software 30:6, pages 1255-1275.
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Haoxiang Jie, Yizhong Wu & Jianwan Ding. (2015) An adaptive metamodel-based global optimization algorithm for black-box type problems. Engineering Optimization 47:11, pages 1459-1480.
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Haitao Liu, Shengli Xu, Xiaofang Wang, Junnan Wu & Yang Song. (2015) A global optimization algorithm for simulation-based problems via the extended DIRECT scheme. Engineering Optimization 47:11, pages 1441-1458.
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