Method for optimizing broken paper splicing and recovery problem through genetic algorithm
A technology of genetic algorithm and shredded paper, which is applied in the field of using genetic algorithm to optimize splicing and restoration of shredded paper, which can solve problems such as low efficiency and manual splicing to complete tasks.
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[0064] The method for using the genetic algorithm to optimize the splicing and restoration of shredded paper fragments disclosed in the embodiments will be further described below in conjunction with the accompanying drawings. as attached Figure 4 As shown, the method specifically includes the following steps:
[0065] S1. Evaluation of genetic difference:
[0066] Due to the wide application of genetic algorithm in the field of discrete optimization and its remarkable advantages, the present invention will optimize the splicing and restoration of shredded paper based on the optimization framework of genetic algorithm. Aiming at the characteristics of the splicing restoration problem of shredded paper, the present invention makes corresponding improvements to the operators of the traditional genetic algorithm. In the following, the present invention will be further introduced according to the operation flow of the genetic algorithm.
[0067] For the genetic algorithm, first...
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