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A Clothing Cutting Path Optimization Method Based on Nearest Neighbor Genetic Hybrid Algorithm

A hybrid algorithm and path optimization technology, applied in computing, manufacturing computing systems, data processing applications, etc., can solve problems such as time-consuming, low efficiency, and large loss, and achieve high efficiency, fast search speed, and small error effects

Active Publication Date: 2021-10-29
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the shortcomings of long time consumption, large loss and low efficiency in determining the cutting path at present, the present invention introduces a modern intelligent optimization algorithm and provides a cutting path optimization method based on the nearest neighbor genetic hybrid algorithm, which improves the efficiency of determining the cutting plan and shortens Reduce the cutting time and improve the processing efficiency

Method used

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  • A Clothing Cutting Path Optimization Method Based on Nearest Neighbor Genetic Hybrid Algorithm
  • A Clothing Cutting Path Optimization Method Based on Nearest Neighbor Genetic Hybrid Algorithm
  • A Clothing Cutting Path Optimization Method Based on Nearest Neighbor Genetic Hybrid Algorithm

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[0060] specific implementation plan

[0061] The present invention will be further described below in conjunction with the accompanying drawings and specific examples.

[0062] refer to Figure 1 to Figure 7 , a clothing clipping path optimization method based on the nearest neighbor genetic hybrid algorithm, comprising the following steps:

[0063] The first step is to layout and obtain the cutting file: the user selects the layout software to layout the clothing samples, and the present invention selects the Boke intelligent clothing CAD system to layout the clothing samples; after the layout is completed, the cutting file clo.dat is obtained , set the number of samples U=40 and layout width W=1450mm;

[0064] The second step is to analyze the clipping file and obtain the sample point coordinates and center point coordinates: refer to Figure 4 , read the cropped file data string δ according to the MATLAB program:

[0065] δ=H1*G71*ZX16549*N1*…N40*M15*…M0*

[0066] The ...

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Abstract

A clothing cutting path optimization method based on the nearest neighbor genetic hybrid algorithm, comprising the following steps: 1) Nesting the clothing samples by cutting bed software to obtain a cutting data file, analyzing and reproducing it with MATLAB; 2) converting it into A two-level combinatorial optimization problem, using an improved genetic algorithm to solve the cutting sequence; 3) Using the nearest neighbor algorithm to obtain the entry point of the sample on the basis of the cutting sequence; 4) Analyzing the cutting path data before and after optimization, and comparing and analyzing the results. The invention provides a clothing cutting path optimization method that can effectively improve cutting efficiency.

Description

technical field [0001] The invention belongs to the technical field of computer-aided clothing cutting, and relates to a method for optimizing clothing cutting paths. Background technique [0002] As a country with a large population, my country's textile industry plays a pivotal role in the country's industrialization process. With the acceleration of economic globalization, customers' demand for clothing is becoming more and more diversified and personalized, and the quality requirements of products are also constantly improving. The development is facing serious challenges, and it is urgent to upgrade its own production technology. The introduction of the cutting bed system has brought about earth-shaking changes in the traditional garment industry, greatly improving the quality and precision of products, and increasing production efficiency rapidly. Therefore, as the relevant supporting equipment for the garment industry, the cutting bed system is the guarantee of the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/04
CPCG06Q10/043G06Q50/04Y02P90/30
Inventor 俞立廖义辉杨恩君刘安东林文杰董辉
Owner ZHEJIANG UNIV OF TECH
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