Visualization Algorithms for Optimized Design
Professor Wu Jiaju
April 10, 2026 (Friday) 10:00–11:30
Conference Room S630A, Zhixin Building, South District, Yuehai Campus, Shenzhen University
Associate Professor Guo Dengji
Design contributes up to 70% to the cost-performance ratio of products, yet the vast majority of magnetic devices are still based on feasible designs. Optimized design can balance multiple design objectives under various constraints, but the multivariate nonlinear equations involved have neither analytical solutions nor easily obtainable useful numerical solutions. The report uses chromatographic mapping in 3D space to the value range of the 4th dimension and employs the union and intersection of multi-objective constrained numerical distributions for visual interactive human-brain participation in the decision-making process. Taking the optimization of a commercial transformer as an example, all technical and economic indicators achieved results superior to feasible designs. The program code and its annotations can be provided to serve as a reference for optimized design of products and control systems.
Wu Jiaju, Professor at Nanchang Hangkong University, Doctor of Engineering from the University of Fukui, Japan. Research directions: Optimized design of power electronics magnetic devices and multidimensional data visualization. He has led or completed four projects of the National Natural Science Foundation of China. His research focuses on providing visualization algorithm options for optimized design.
All are welcome to attend!
Prepared by: Ren Luyang
Typeset by: Chen Shifa
First Review and Proofreading: Ren Luyang
Second Review and Proofreading: Ma Jiang
Third Review and Proofreading: Zheng Chun
