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An Improved Genetic Algorithm and Its Application in E Plane Waveguide Filter Design

YIN Lei,HONG Wei(State Key Laboratory of Millimeter Waves,Southeast University,Naijing 210096,China)  
In this paper,an improved Genetic Algorithm (GA) was applied to the design of high performance E plane waveguide filters at the first time.For dealing with the shortcoming of GA as low efficiency in local optimum searching,the idea based on Parallel Genetic Algorithm (PGA) known as separate local optimization was presented.By separating the whole population into sub populations,and adding a new operator known as crossover between two sub population,the new method can provide as 2~3 times quickly as traditional GA.All numerical examinations illustrated the high convergence speed and good global searching of the new algorithm,and proved the validity of it.
【CateGory Index】: TN713
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