Surrogate Model-Based Engineering Design and Optimization

2020 ◽  
Author(s):  
Ping Jiang ◽  
Qi Zhou ◽  
Xinyu Shao
Keyword(s):  
Engineering Design ◽  
Surrogate Model ◽  
Design And Optimization ◽  
Model Based

A Clustering-Based Surrogate Model Updating Approach to Simulation-Based Engineering Design

2008 ◽  
Vol 130 (4) ◽  
Author(s):  
Tiefu Shao ◽  
Sundar Krishnamurty
Keyword(s):  
Design Optimization ◽  
Engineering Design ◽  
Surrogate Model ◽  
Model Updating ◽  
Surrogate Models ◽  
Illustrative Case ◽  
Design Decision ◽  
Optimal Point ◽  
Model Based ◽  
Simulation Based

This paper addresses the critical issue of effectiveness and efficiency in simulation-based optimization using surrogate models as predictive models in engineering design. Specifically, it presents a novel clustering-based multilocation search (CMLS) procedure to iteratively improve the fidelity and efficacy of Kriging models in the context of design decisions. The application of this approach will overcome the potential drawback in surrogate-model-based design optimization, namely, the use of surrogate models may result in suboptimal solutions due to the possible smoothing out of the global optimal point if the sampling scheme fails to capture the critical points of interest with enough fidelity or clarity. The paper details how the problem of smoothing out the best (SOB) can remain unsolved in multimodal systems, even if a sequential model updating strategy has been employed, and lead to erroneous outcomes. Alternatively, to overcome the problem of SOB defect, this paper presents the CMLS method that uses a novel clustering-based methodical procedure to screen out distinct potential optimal points for subsequent model validation and updating from a design decision perspective. It is embedded within a genetic algorithm setup to capture the buried, transient, yet inherent data pattern in the design evolution based on the principles of data mining, which are then used to improve the overall performance and effectiveness of surrogate-model-based design optimization. Four illustrative case studies, including a 21bar truss problem, are detailed to demonstrate the application of the CMLS methodology and the results are discussed.

scholarly journals The ensemble of surrogate model based on local and global errors

2021 ◽  
Vol 1043 (5) ◽  
pp. 052049
Author(s):  
X Zhang ◽  
H Li ◽  
G Xiang ◽  
H W Xu
Keyword(s):  
Surrogate Model ◽  
Model Based

Surrogate model-based optimization for the headform design of an axisymmetric body

2015 ◽  
Vol 107 ◽  
pp. 237-245 ◽  
Author(s):  
Hu Changli ◽  
Guoyu Wang ◽  
Guanghao Chen ◽  
Biao Huang
Keyword(s):  
Surrogate Model ◽  
Axisymmetric Body ◽  
Model Based
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