Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work?

被引：1

作者：

Silva, Rodrigo C. P. ^{[1
]}

Li, Min ^{[1
]}

Ghorbanian, Vahid ^{[1
]}

Guimaraes, Frederico G. ^{[2
]}

Lowther, David A. ^{[1
]}

机构：

[1] McGill Univ, Montreal, PQ, Canada

[2] Univ Fed Minas Gerais, Belo Horizonte, MG, Brazil

来源：

BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS, BIOMA 2018 | 2018年 / 10835卷

关键词：

Robust optimization; Surrogate models; SPM motor; OPTIMIZATION;

D O I：

10.1007/978-3-319-91641-5_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently, the use of surrogate models for robustness assessment has become popular in various research fields. In this paper, we investigate whether it is advantageous to use the sample data to build a model instead of computing the robustness measures directly. The results suggest that if the quality of the surrogate model cannot be guaranteed, their use can be harmful to the optimization process.

引用

页码：295 / 306

页数：12

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