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However, the current research on this field is generally based on improve GA algorithm. GA usually starts from a population of randomly generated individuals. In each generation, the fitness of every individual in the population is evaluated and the more fit individuals are selected. Commonly, the algorithm terminates when either a maximum number of generations has been produced, or a satisfactory fitness level has been reached for the population. Simply using GA will generate a huge number of electromagnetic simulations and consume a lot of time. |
IEEE/ICACT20220332 Slide.05
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