Open Access

ARTICLE

Robust Design Optimization and Improvement by Metamodel

Shufang Song^*, Lu Wang, Yuhua Yan

School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072, China

* Corresponding Author: Shufang Song. Email:

(This article belongs to the Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)

Computer Modeling in Engineering & Sciences 2020, 125(1), 383-399. https://doi.org/10.32604/cmes.2020.09588

Received 03 January 2020; Accepted 03 June 2020; Issue published 18 September 2020

Abstract

The robust design optimization (RDO) is an effective method to improve product performance with uncertainty factors. The robust optimal solution should be not only satisfied the probabilistic constraints but also less sensitive to the variation of design variables. There are some important issues in RDO, such as how to judge robustness, deal with multi-objective problem and black-box situation. In this paper, two criteria are proposed to judge the deterministic optimal solution whether satisfies robustness requirment. The robustness measure based on maximum entropy is proposed. Weighted sum method is improved to deal with the objective function, and the basic framework of metamodel assisted robust optimization is also provided for improving the efficiency. Finally, several engineering examples are used to verify the advantages.

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Keywords

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