Secret key sequence generating method based on self-feedback evolution sequence
A sequence generation and self-feedback technology, applied to key distribution, can solve the problems of increased computing time, unsatisfactory speed, unfavorable data format standardization, etc.
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[0083] Such as figure 1 As shown, this embodiment discloses a method for generating a key sequence based on a self-feedback evolution sequence, which includes the following steps:
[0084](1) Initialize the parameters of population size NP, maximum number of iterations, individual sequence length D, breeding pool size M, crossover probability pc, and mutation probability pm parameters during the initialization evolution; among them, in this embodiment, the initialization population size NP is 100, and the maximum iteration Number MAX_GEN=1000, individual sequence length D=432, breeding pool size M=50, crossover probability pc=0.8, mutation probability pm=0.2.
[0085] (2) Use the self-feedback mapping function to initialize the evolving population, and randomly generate an initial population containing 100 individuals; the initialization process of an individual in a specific population is as follows:
[0086] First, randomly generate a random number λ 1 : λ 1 =rand() / (doub...
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