Sensitivity Analysis for Multi-objective Optimization of the Benchmark TEAM Problem
- Title
- Sensitivity Analysis for Multi-objective Optimization of the Benchmark TEAM Problem
- Author
- 민승재
- Keywords
- Design optimization; Pareto optimization; sensitivity analysis
- Issue Date
- 2020-01
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE TRANSACTIONS ON MAGNETICS, v. 56, NO 1, Page. 1-2
- 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.
- URI
- https://ieeexplore.ieee.org/document/8937055https://repository.hanyang.ac.kr/handle/20.500.11754/152129
- ISSN
- 0018-9464; 1941-0069
- DOI
- 10.1109/TMAG.2019.2950944
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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