Sensitivity Analysis for Multi-Objective Optimization of the Benchmark TEAM Problem
- Authors
- Seo, Minsik; Ryu, Namhee; Min, Seungjae
- Issue Date
- Jan-2020
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Design optimization; Pareto optimization; sensitivity analysis
- Citation
- IEEE TRANSACTIONS ON MAGNETICS, v.56, no.1, pp.1 - 4
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON MAGNETICS
- Volume
- 56
- Number
- 1
- Start Page
- 1
- End Page
- 4
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3757
- DOI
- 10.1109/TMAG.2019.2950944
- ISSN
- 0018-9464
- Abstract
- In this article, the design sensitivity is examined using the material derivative concept of the shape sensitivity analysis to use a gradient-based algorithm for the multi-objective benchmark testing electromagnetic analysis methods (TEAMs) problem. To calculate the shape sensitivity, the original objective functions are replaced with the definite integral form of the functionals, and the p-norm expression is used to handle the minimax problem. The computed sensitivities are validated using the finite-difference numerical sensitivities. The validity of the modified objectives is demonstrated using the results of the single-objective optimization. The results show that the analytical sensitivities agree well with the numerical ones, and the modified objective functions are valid for the benchmark optimization problem.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3757)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.