A express sorting method based on genetic algorithm
A genetic algorithm and population technology, applied in the field of express sorting based on genetic algorithm, can solve problems such as unsuitable express delivery services, and achieve the effects of avoiding repeated sorting, reducing the probability of express damage, and saving sorting costs
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[0068]
[0069] Algorithm 1 is the optimal subset selection algorithm, which uses genetic algorithm to obtain M subsets in the set, and then selects an optimal individual from the subset. Lines 1 to 3 of the algorithm are initialized, where the first line represents the encoding of the set P2, the second line generates an initial population of M, and the third line crosses the initial population to obtain a new population twice the number of the initial population; Lines 4 to 8 represent the T generation of population inheritance, in which the 8th line selects better individuals for inheritance, the 9th line evolution includes crossover and mutation; the last 10th line selects the best individual from the last generation of population.
[0070] £ is the unpacking rate, that is, the ratio of the number of packages that can be unpacked and reorganized in the current sorting center to the total number of packages.
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