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Intelligent warehouse shelving method and device based on genetic algorithm

A genetic algorithm and racking device technology, applied in genetic rules, calculations, genetic models, etc., can solve problems such as unreasonable distribution and low efficiency of warehouse shelves, and achieve the effect of reasonable order and reasonable processing

Pending Publication Date: 2019-07-30
GUANGZHOU UNIVERSITY
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Problems solved by technology

[0006] The invention provides a method and device for putting shelves in an intelligent warehouse based on a genetic algorithm. Based on a genetic algorithm and fitness calculation, it solves the technical problems of low efficiency and unreasonable distribution of warehouses in the prior art, and realizes faster and more reasonable storage. process order

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  • Intelligent warehouse shelving method and device based on genetic algorithm
  • Intelligent warehouse shelving method and device based on genetic algorithm
  • Intelligent warehouse shelving method and device based on genetic algorithm

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Embodiment Construction

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] Please refer to figure 1, the preferred embodiment of the present invention provides a method for putting shelves in an intelligent warehouse based on a genetic algorithm, including:

[0051] S1, generate multiple listing results and encode them into the initial population;

[0052] S2, by performing a crossover mutation operation on the current initial population, so that the current initial population contains more newly generated chromosomes;

[0053] ...

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Abstract

The invention discloses an intelligent warehouse shelving method based on a genetic algorithm. The method comprises the steps of S1, generating a plurality of shelving results and encoding the plurality of shelving results into an initial population; s2, performing cross mutation operation on the current initial population to enable the current initial population to contain more newly generated chromosomes; s3, the fitness of each chromosome in the current initial population is calculated, and selecting and storing the chromosome with the highest current fitness in the current initial population until a preset iteration termination condition is met; s4, carrying out inverse coding on the chromosomes obtained after iteration is completed to obtain a racking result. The method obtains an optimal chromosome based on a genetic algorithm and fitness calculation, obtainS an optimal chromosome group after iterative updating, and finally, carries out inverse coding to obtain an on-shelf result; the technical problems that in the prior art, warehouse loading efficiency is low, and distribution is unreasonable are solved, and orders can be processed faster and more reasonably.

Description

technical field [0001] The invention relates to the field of intelligent warehouse shelving, in particular to a genetic algorithm-based intelligent warehouse shelving method and device. Background technique [0002] In recent years, with the rapid popularization of the Internet, e-commerce platforms have developed rapidly. At present, there are hundreds of e-commerce platforms of various sizes in China. According to the statistics of these e-commerce platforms, the two largest e-commerce platforms in China (Taobao and JD.com) completed 8.12 billion and 240 million orders. Usually these orders are small in quantity and have a large quantity of items within the order. The processing of these orders in the warehouse management system is completed through the order sorting system, and the problem of location allocation is a key factor affecting the efficiency of order sorting. [0003] Today, there are two main types of these sorting systems: the Pick-Pass-System sorting syst...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06N3/12
CPCG06Q10/04G06Q10/087G06N3/126
Inventor 仇晶田志宏殷丽华司亚琪顾钊铨韩伟红李树栋李默涵方滨兴韩昊
Owner GUANGZHOU UNIVERSITY
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