Hybrid Genetic Algorithm for Electromagnetic

This paper proposes a hybrid genetic algorithm (GA) for electromagnetic topology optimization. A two-dimen- sional (2-D) encoding technique, which considers the geometrical topology, is first applied to electromagnetics. Then, a 2-D ge- ographic 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. Index Terms—Genetic algorithm (GA), geographic crossover, local optimization, topology optimization, two-dimensional (2-D) encoding.

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