Method of garment cutting bed splitting based on trial-and-error particle swarm optimization

A hybrid algorithm and particle swarm technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of low accuracy, slow speed, low applicability of different orders, etc., to reduce production errors and improve search efficiency. Effect

Active Publication Date: 2019-02-19
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the existing bed separation method, such as slow speed and low precision, and improve the low applicability of the existing bed separation method to different orders, the present invention provides a method that can realize rapid bed separation, effectively improve precision, and effectively process different orders. Intelligent Garment Cutting and Separation Method for Garment Orders

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  • Method of garment cutting bed splitting based on trial-and-error particle swarm optimization
  • Method of garment cutting bed splitting based on trial-and-error particle swarm optimization
  • Method of garment cutting bed splitting based on trial-and-error particle swarm optimization

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Embodiment Construction

[0025] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with specific examples.

[0026] refer to figure 1 with figure 2 , a clothing cutting and bed-dividing method based on the trial and error particle swarm algorithm, comprising the following steps:

[0027] The first step is to set initialization constraints on the cutting bed

[0028] It is up to the user to determine the cutting quantity U required for each type of sample i , there are M types of models, the allowable error range of each model sample is δ, and the upper limit C of the number of layers C per bed max and lower limit C min , the upper limit L of the total number of pieces L that can be cut for each layer of cloth max and the lower limit L min , the upper limit H of the number H of each model sample per bed max , each type of sample specification ratio Pb maximum Pb max ;

[0029] The second step is to calculate the number of pos...

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Abstract

A method of garment cutting bed splitting based on trial-and-error particle swarm optimization is proposed. Based on the relatively fixed short interval integer matching problem, the trial-and-error method is used to quickly select the optimal matching ratio, and then combined with particle swarm optimization algorithm, the ideal combination scheme of cutting layers and nesting ratio can be obtained quickly. The hybrid algorithm makes use of the fast convergence of particle swarm optimization algorithm to enhance the global convergence of the algorithm and converge to the global optimal solution of the standard particle swarm optimization algorithm. Then the least square method is used to optimize the global optimal solution to reduce the experimental error, and then the optimal parametercombination in the garment cutting bed-splitting method can be obtained quickly. The invention provides an intelligent garment cutting bed splitting method capable of realizing quick bed splitting, effectively improving precision and effectively processing different garment orders.

Description

technical field [0001] The invention belongs to the technical field of computer-aided clothing bed separation, and in particular relates to a clothing cutting and bed separation method based on a trial and error particle swarm algorithm. Background technique [0002] The garment industry is one of the traditional pillar industries of our country and plays an important role in the national economy. In recent years, the increase in labor costs has made clothing production more and more expensive. At the same time, the personalization trend of clothing development has caused the problem of increasing the size of clothing orders, which puts forward higher requirements for the design of production plans. As the first process of garment production, cutting directly affects the quality and cost of garment products, and then affects the overall economic benefits of the enterprise. Therefore, how to optimize distribution to reduce the number of separate beds and cutting errors, the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F2113/12G06F30/00Y02P90/30
Inventor 董辉林文杰毛小海俞立张文安
Owner ZHEJIANG UNIV OF TECH
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