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MID-ESM: An Adaptive Median-Based Ensemble of Surrogate Models.

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Title: MID-ESM: An Adaptive Median-Based Ensemble of Surrogate Models.
Authors: Jianji Li1 libertyljj@mail.dlut.edu.cn, Shuai Zhang1 shuaizhang@mail.dlut.edu.cn, Pengwei Liang1 lpw12104059@mail.dlut.edu.cn, Xiaonan Lai1 laixiaonan0910@163.com, Xueguan Song1 sxg@dlut.edu.cn
Source: Journal of Mechanical Design. Nov2023, Vol. 145 Issue 11, p1-12. 12p.
Subjects: Homoscedasticity
Abstract: Along with the development of surrogate models, there is a growing need to use surrogate models instead of computationally intensive simulations to estimate real system responses. Compared with individual surrogate models, the ensemble of surrogate models is gradually drawing more attention due to its better applicability and robustness. Thus, this paper proposes an adaptive median-based ensemble of surrogate models (MID-ESMs). At first, construct a reference model using the median of the predicted values of several surrogate models. Then an adaptive weight ensemble strategy is proposed based on the reference model to integrate global trends and local features. Thirty test functions and a practical engineering case are used to evaluate the model performance. In addition, this paper investigates the effect of homoscedasticity noise and test functions of different dimensions on the proposed model. The results demonstrate that MID-ESM has higher accuracy and robustness than individual surrogate models and other ensembles of surrogate models, offering better applicability in engineering problems. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AR" term="%22Jianji+Li%22">Jianji Li</searchLink><relatesTo>1</relatesTo><i> libertyljj@mail.dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shuai+Zhang%22">Shuai Zhang</searchLink><relatesTo>1</relatesTo><i> shuaizhang@mail.dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Pengwei+Liang%22">Pengwei Liang</searchLink><relatesTo>1</relatesTo><i> lpw12104059@mail.dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Xiaonan+Lai%22">Xiaonan Lai</searchLink><relatesTo>1</relatesTo><i> laixiaonan0910@163.com</i><br /><searchLink fieldCode="AR" term="%22Xueguan+Song%22">Xueguan Song</searchLink><relatesTo>1</relatesTo><i> sxg@dlut.edu.cn</i>
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  Data: Along with the development of surrogate models, there is a growing need to use surrogate models instead of computationally intensive simulations to estimate real system responses. Compared with individual surrogate models, the ensemble of surrogate models is gradually drawing more attention due to its better applicability and robustness. Thus, this paper proposes an adaptive median-based ensemble of surrogate models (MID-ESMs). At first, construct a reference model using the median of the predicted values of several surrogate models. Then an adaptive weight ensemble strategy is proposed based on the reference model to integrate global trends and local features. Thirty test functions and a practical engineering case are used to evaluate the model performance. In addition, this paper investigates the effect of homoscedasticity noise and test functions of different dimensions on the proposed model. The results demonstrate that MID-ESM has higher accuracy and robustness than individual surrogate models and other ensembles of surrogate models, offering better applicability in engineering problems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1115/1.4062977
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      – Code: eng
        Text: English
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        PageCount: 12
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      – SubjectFull: Homoscedasticity
        Type: general
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      – TitleFull: MID-ESM: An Adaptive Median-Based Ensemble of Surrogate Models.
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            NameFull: Jianji Li
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            NameFull: Shuai Zhang
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            NameFull: Pengwei Liang
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            NameFull: Xiaonan Lai
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            – D: 01
              M: 11
              Text: Nov2023
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              Y: 2023
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