论文信息 - An improved genetic algorithm for global optimization of electromagnetic problems

An improved genetic algorithm for global optimization of electromagnetic problems

An improved genetic algorithm (GA) for design optimization of electromagnetic devices is developed in this paper. Numerical test is done on a classical mathematical problem, and it shows that the proposed method has noticeable advantages over standard GAs. To demonstrate its applicability in engineering optimal design problems, the proposed algorithm, together with the charge simulation method, is used to solve the optimization of a bar-plane electrode model.

Yang Shiyou | Ni Guangzheng | Chen Xudong | Qian Jingen | Zhang Mingliu

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