open access

https://hdl.handle.net/2115/99264

Dynamic Reduced Normalized Gaussian Network Method for Topology Optimization of Electromagnetic Devices

英語

eigendecomposition

2025-12-16

Institute of Electrical and Electronics Engineers (IEEE)

IEEE Transactions on Magnetics

1-6

6

This paper proposes an efficient method to represent topology using fewer variables by combining the normalized Gaussian network with a truncated eigendecomposition. In this method, new orthogonal basis functions are derived from the original Gaussian functions, allowing the main features of the topology to be captured compactly. Since the bases are orthogonal after decomposition, we also introduce a strategy to dynamically increase the number of basis functions during optimization, ensuring that each newly added basis does not interfere with the existing ones. By progressively adding bases, the topology evolves from a coarse representation to a more refined structure, which helps reduce optimization time and avoid getting trapped in poor local solutions.

学術雑誌論文

Accepted Manuscript

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0018-9464

1941-0069