Title :
An improved genetic algorithm for global optimization of electromagnetic problems
Author :
Xudong, Chen ; Jingen, Qian ; Guangzheng, Ni ; Shiyou, Yang ; Mingliu, Zhang
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fDate :
9/1/2001 12:00:00 AM
Abstract :
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
Keywords :
electrodes; electromagnetic devices; genetic algorithms; bar-plane electrode model; charge simulation method; electromagnetic devices; electromagnetic problems; engineering optimal design problems; genetic algorithm; global optimization; Algorithm design and analysis; Biological cells; Design engineering; Design optimization; Electrodes; Electromagnetic devices; Genetic algorithms; Genetic mutations; Optimization methods; Testing;
Journal_Title :
Magnetics, IEEE Transactions on
