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Hybrid genetic algorithm for electromagnetic topology optimization

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3 Author(s)
Chang-Hwan Im ; Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea ; Hyun-Kyo Jung ; Yong-Joo Kim

This paper proposes a hybrid genetic algorithm (GA) for electromagnetic topology optimization. A two-dimensional (2-D) encoding technique, which considers the geometrical topology, is first applied to electromagnetics. Then, a 2-D geographic crossover is used as the crossover operator. A novel local optimization algorithm, called the on/off sensitivity method, hybridized with the 2-D encoded GA, improves the convergence characteristics. The algorithm was verified by applying it to various case studies, and the results are presented herein.

Published in:

Magnetics, IEEE Transactions on  (Volume:39 ,  Issue: 5 )

Date of Publication:

Sept. 2003

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