Abstract
An immune genetic algorithm of antenna design was presented for optimizing the performance of satellite communications.This antenna was evolved to meet a challenging set of communication requirements,most notably the combination of wide beamwidth for a circularly-polarized wave and wide bandwidth.A novel hybrid encoding of real-code and binary-code was described to simplify the structure description as well as the crossover and mutation operations of the genetic algorithm,which mapped the satellite antenna structure to chromosomes one by one.The performance requirements of satellite antenna were treated as the antigen,and the antenna structure in the design process was treated as the antibody.Antenna antibody populations were optimized by genetic manipulation.Meanwhile,affinity,concentration and memory base were added for immune regulation and iteration decrease,so the performance of the satellite antenna met the requirements gradually.At last,the ST5 satellite antenna was used to evaluate the performance of the algorithm.Results showed that the immune genetic algorithm reduced the run-time overhead by 20%-30%,and it performed more stable to design satellite antenna than traditional genetic algorithms.
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