Unlock instant, AI-driven research and patent intelligence for your innovation.

Reverse logistics network configuration method based on multi-population PSO (Particle Swarm Optimization)

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

Active Publication Date: 2015-03-04
XIDIAN UNIV
View PDF1 Cites 1 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Reverse logistics network configuration method based on multi-population PSO (Particle Swarm Optimization)
  • Reverse logistics network configuration method based on multi-population PSO (Particle Swarm Optimization)
  • Reverse logistics network configuration method based on multi-population PSO (Particle Swarm Optimization)

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of electronic information and discloses a reverse logistics network configuration method based on multi-population PSO (Particle Swarm Optimization). The reverse logistics network configuration method takes a multi-population PSO algorithm as a framework and comprises the following steps: (1) setting the number of sub-populations according to a reverse logistics network model; (2) carrying out individual coding and population initialization; (3) calculating fitness functions of individuals and populations; (4) updating individual information; (5) calculating a multi-population fusion operator; (6) calculating an optimal operator. The reverse logistics network configuration method has the benefits that the problem of how to reasonably set the number of collection sites and configure the positions of the collection sites in the reverse logistics network building process to improve the user coverage rate is mainly solved; through experimental verification, a reasonable reverse logistics network configuration scheme can be efficiently optimized, the number of the collection sites in the scheme can be selected, and the collection sites have higher user coverage rate.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q50/28G06N3/00
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