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A Reverse Logistics Network Arrangement Method Based on Multi-population PSO

A logistics network and population technology, applied in the field of electronic information, can solve the problems of fixed number of collection sites and low coverage of collection sites

Active Publication Date: 2017-10-17
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the problems of low collection site coverage and fixed number of collection sites in the reverse logistics network arrangement in the above-mentioned prior art

Method used

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  • A Reverse Logistics Network Arrangement Method Based on Multi-population PSO
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  • A Reverse Logistics Network Arrangement Method Based on Multi-population PSO

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Embodiment Construction

[0043] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0044] Step 1 Set the number of subpopulations according to the reverse logistics network model: figure 2 The RFID-based reverse logistics network model is shown. The model includes three parts: users, collection sites and data centers. Users include general users and special users. The lower limit and upper limit of the number of required collection sites in the model are respectively N1, N2, N1=r1×m, N2=r2×m, where m is the number of users, the value range of r1 is [0.1,0.15], the value range of r2 is [0.15,0.2], divide the population into NUM Population, NUM=N2-N1; each sub-population corresponds to a different number of collection sites, such as a 100-user reverse logistics model, the number of collection sites is set to 4-6, the number of sub-populations is set to three, and the sub-populations are collected The number of stations is 4, 5, and 6 in turn.

[0045] St...

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Abstract

The invention relates to the field of electronic information technology and discloses a reverse logistics network arrangement method based on multiple groups of PSOs. The present invention uses the multi-population PSO algorithm as the framework, and its steps include: (1) setting the number of sub-populations according to the reverse logistics network model; (2) individual coding and population initialization; (3) calculating individual and sub-population fitness functions; (4) ) Update individual information; (5) Calculate multiple group fusion operators; (6) Calculate optimization operators. The present invention mainly solves the problem of how to reasonably set the number of collection sites and arrange the locations of collection sites to improve user coverage during the construction of a reverse logistics network. After experimental verification, the present invention can efficiently optimize a reasonable reverse logistics network arrangement plan. The number of collection sites in the plan can be selected, and all of them have high user coverage.

Description

technical field [0001] The invention relates to the technical field of electronic information, in particular to a reverse logistics network arrangement method based on multi-group PSO. Background technique [0002] Hokey established a mixed integer programming model based on genetic algorithm in 2006 and constructed a specific implementation plan. People began to study reverse logistics modeling for different situations on this basis. In 2009, Huang Zheng established a three-layer reverse logistics network optimization model including factories, recycling centers and customers for the waste recycling problem, and obtained the optimal recycling center location and optimal path. Li Yuan analyzed the characteristics of the remanufacturing logistics network in 2010. On the basis of previous studies, he built a single-product, multi-level closed-loop network location model with uncertain conditions as the background, considering the quantity of recycled products, availability Th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06Q50/28G06N3/00G06Q10/08
CPCG06N3/00G06Q10/08
Inventor 刘静焦李成马俊青马文萍马晶晶刘红英熊涛
Owner XIDIAN UNIV