Compared with the traditional optimization algorithm, because the genetic algorithm uses the encoding method, the object that is directly dealt with is the encoding set of parameters rather than the problem parameters themselves. Through reasonable selection of genetic operators and group iteration, it can effectively deal with image restoration.
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