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Multi-Objective Topology Optimization of a Magnetic Actuator Using an Adaptive Weight and Tunneling Method

Title
Multi-Objective Topology Optimization of a Magnetic Actuator Using an Adaptive Weight and Tunneling Method
Author
민승재
Keywords
Adaptive weight; multi-objective optimization; topology optimization; tunneling method
Issue Date
2019-06
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON MAGNETICS, v. 55, no. 6, article no. 7202504
Abstract
This paper proposes a multi-objective optimization method using an adaptive weight determination scheme and tunneling method. To find the optimum designs that are evenly distributed on the Pareto front, the weights of different objective functions are adaptively determined by using the concept of a hyperplane so that new solutions can be gradually found in the objective space. In addition, to avoid locally optimized solutions that are dominated by other Pareto optimum designs, a tunneling method is employed in the optimization process. To confirm the effectiveness of the proposed method, topology optimization of the magnetic actuator is performed. The magnetic force and volume of the actuator are considered as two conflicting objective functions in the optimization problem, and Pareto optimum solutions that are evenly distributed in the objective space could be obtained.
URI
https://ieeexplore.ieee.org/document/8667023https://repository.hanyang.ac.kr/handle/20.500.11754/151915
ISSN
0018-9464; 1941-0069
DOI
10.1109/TMAG.2019.2899893
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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