Unlock instant, AI-driven research and patent intelligence for your innovation.
Path optimization method and system considering crowdsourcing and self-distribution cooperation situation
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A route optimization and crowdsourcing technology, which is applied in the direction of instruments, data processing applications, business, etc., can solve problems such as inability to optimize logistics and distribution, and achieve the effect of reducing costs
Active Publication Date: 2021-06-04
HEFEI UNIV OF TECH
View PDF7 Cites 4 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0006] Aiming at the deficiencies of the prior art, the present invention provides a route optimization method and system that considers crowdsourcing and self-delivery collaboration, which solves the problem that the prior art cannot optimize logistics delivery when considering various influencing factors
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
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0115] In the first aspect, the present invention first discloses a route optimization method considering crowdsourcing and self-delivery collaboration, the method includes:
[0116] S1. Obtain n individuals x based on the number of vehicles M and logistics distribution demand point I 1 ,x 2 ,...,x n , and generate an initial population Π=(x 1 ,x 2 ,...,x n );
[0117] S2. Set the maximum number of iterations t of the variable neighborhood search algorithm max , the initial number of iterations t=1, and initialize R=0, the initial value k=1 in the shaking(k) operation, set the maximum load capacity Q of the vehicle 1 , Q 2 , and the maximum driving distance L of electric vehicles max , the cost parameter c of fuel vehicles and electric vehicles 1 , c 2 , the distribution cost parameter a of crowdsourcing and self-delivery 1 , a 2 , b 1 , b 2 ;
[0118] S3. Calculate the value of the objective function f of each individual in the initial population Π, and obtain ...
Embodiment 2
[0223] In the second aspect, the present invention also provides a route optimization system considering crowdsourcing and self-delivery collaboration, the system includes:
[0224] A processing module for performing the following steps:
[0225] S1. Obtain n individuals x based on the number of vehicles M and logistics distribution demand point I 1 ,x 2 ,...,x n , and generate an initial population ∏=(x 1 ,x 2 ,...,x n );
[0226] S2. Set the maximum number of iterations t of the variable neighborhood search algorithm max , the initial number of iterations t=1, and initialize R=0, the initial value k=1 in the shaking(k) operation, set the maximum load capacity Q of the vehicle 1 , Q 2 , and the maximum driving distance L of electric vehicles max , the cost parameter c of fuel vehicles and electric vehicles 1 , c 2 , the distribution cost parameter a of crowdsourcing and self-delivery 1 , a 2 , b 1 , b 2 ;
[0227] S3. Calculate the value of the objective funct...
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
Login to View More
Abstract
The invention provides a path optimization method and system considering a crowdsourcing and self-distribution cooperation situation, and relates to the technical field of logistics distribution. A objective function is constructed based on the transportation cost, the self-distribution cost and the crowdsourcing cost in the logistics distribution process, then the objective function is minimized to determine a distribution route of self-distribution and a demand point of crowdsourcing distribution, and then optimization is carried out by using a hybridalgorithm combining an improved variable neighborhood searchalgorithm and a differential evolutionalgorithm. An optimal target function value fmin and a corresponding xmin are acquired and the logistics distribution process is optimized according to a solved optimal result. Cost of the distribution center is reduced, the selection of the distribution mode of the distribution center is guided, the problem that the logistics distribution cannot be optimized when influence factors in multiple aspects are considered in the prior art is solved, and the purpose of overall optimization of the logistics distribution is achieved.
Description
technical field [0001] The invention relates to the technical field of logistics distribution, in particular to a route optimization method and system considering crowdsourcing and self-distribution collaboration. Background technique [0002] The rapid development of the e-commerce industry not only needs to meet the needs of users for the quality of goods, but also puts forward new requirements for the quality of logistics and distribution. If the logistics distribution is unreasonable, it will not only cause problems such as accumulation of goods at the distribution point and confusion in placement, but in serious cases, it will even cause a decrease in user experience and return the goods. However, in logistics distribution, which distribution method to choose (crowdsourced distribution or self-delivery), when to pick up or deliver the goods, how to meet the requirements of special demand points for the delivery time, and which car model to choose for logistics distribut...
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
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to View More 
Login to View More