Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A route optimization method used in the field of logistics distribution

A technology of logistics distribution and route optimization, applied in logistics, data processing applications, forecasting, etc., can solve problems such as unsatisfactory calculation effect, long calculation time, and large calculation scale, and achieve short calculation time, good calculation effect, and low cost. The effect of computing time

Inactive Publication Date: 2017-12-05
SHANXI UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the actual application process, if the complexity of the path and multi-combination constraints are considered, when the number of destinations is relatively large, the calculation scale of the problem will become very large. Traditional greedy algorithms, Monte Carlo algorithms, neural networks, etc. Network algorithms, etc., will face problems such as increased calculation scale and longer calculation time, resulting in unsatisfactory calculation results.

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
  • A route optimization method used in the field of logistics distribution
  • A route optimization method used in the field of logistics distribution
  • A route optimization method used in the field of logistics distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] (1) In the first stage, the adjacency matrix of the distance between each point is constructed by combining the constraints of the intersection points

[0020] ① Connectivity processing of intersections, departure points, destinations, etc.

[0021] In scientific computing and logistics distribution problems, no matter the starting point or the destination point is always composed of many path connections, and the path is composed of the most basic element of intersection; in order to calculate the path accurately, considering the constraints of the intersection, first construct A system for describing intersection connectivity;

[0022] Taking the logistics problem as an example, the intersections and roads in real life constitute the basic elements connecting the starting point and the destination point. Each intersection has some constraints (for example: traffic lights at the intersection, whether U-turns and left-turn lights are allowed);

[0023] The representat...

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 discloses a path optimization method. The method is characterized in that the best and shortest path of large-scale destinations is calculated by a simulated annealing algorithm. According to the method and the system, the calculation time can be obviously shortened, and thus the method is relatively high in practicability and can be applied to cold atom dynamics and quantum phase transition calculation in an optical lattice, logistics distribution and other fields. The method can be applied to cold atom dynamics and quantum phase transition calculation in an optical lattice, logistics distribution and other fields, according to a three-level process algorithm, the calculation time can be obviously shortened, and thus the method is relatively high in practicability. In particular for calculation of large-scale destinations, the method is very short in calculation time and excellent in calculation effect, and thus the method is almost the unique feasible processing method.

Description

technical field [0001] The invention is a path optimization method used in the field of logistics distribution, which mainly uses a simulated annealing algorithm to calculate the shortest and optimal path of large-scale destinations. By adopting the method and system, the calculation time can be significantly reduced, and the utility model has extremely high practicability, and can be applied to scientific calculation, logistics distribution and other fields. Background technique [0002] In scientific computing and daily life (such as logistics and distribution problems), it is often calculated to start from a certain location, return through multiple destinations, and optimize the problem of obtaining the shortest path. In the actual application process, if the complexity of the path and multi-combination constraints are considered, when the number of destinations is relatively large, the calculation scale of the problem will become very large. Traditional greedy algorithm...

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 Patents(China)
IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/047
Inventor 杜磊郭利平耿彦峰李雪莲王晋平
Owner SHANXI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com