Affiliations: [a] Department of EE, China Jiliang University, Hangzhou, China | [b] Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province, China Jiliang University, Hangzhou, China
Correspondence:
[*]
Corresponding author: Siguang An, College of EE, China Jiliang University, Hangzhou 310018, Zhejiang, China. E-mail: annsg@cjlu.edu.cn, annsg@126.com
Abstract: The optimization designs of modern electromagnetic devices are often modeled as high dimensional multi-objective problems due to their high-quality demands in multiple functions and systemization. To identify and remove the redundant objectives, an interactive aggregation trees method embedded into the two-archive algorithm 2 is proposed to solve the high dimensional multi-objective optimizations. To balance the speed and the accuracy in finding the redundant objectives, conflict degree, conflict list and conflict flag are developed in an interactive aggregation trees frame. The two-archive algorithm 2 is modified to adjust the updated model obtained from the objective-reduction frame. Mathematical test functions and TEAM Workshop Problem 22 are used to test the performance of the proposed method. Numerical results demonstrate that the proposed method can remove the redundant objectives effectively and provide qualified solutions for the electromagnetic optimization designs.
Keywords: Aggregation trees method, high dimensional optimization, inverse problem, two-archive algorithm 2
