Vehicle route optimization method

An optimization method and vehicle routing technology, applied in the fields of genetic laws, instruments, data processing applications, etc., to avoid premature convergence

Active Publication Date: 2015-06-10
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0005] The invention utilizes the genetic algorithm to solve the vehicle routing problem in the global connection, so that the problem solving process is optimized in terms of time and space complexity

Method used

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specific Embodiment approach

[0034] According to the attached figure 1 , The specific implementation of the present invention is:

[0035] 1). Define the vehicle routing problem as a graph model.

[0036] 11). Analyze the problem of vehicle routing and list all customer nodes, dispatching station nodes and non-negative costs between nodes in the route;

[0037] 12). Take all customers and dispatching stations in the path as vertex V in the graph i ={0,1,2,...,n}, vertex i∈{1,...,n} corresponds to the customer, vertex 0 corresponds to the dispatching station, and n is the number of customers;

[0038] 13). Take the vertex representing the dispatching station in the figure as the cluster V 0 , The remaining vertices are divided into k clusters according to certain requirements;

[0039] 14). The path with cost between nodes is regarded as the arc with non-negative cost between vertices in the graph;

[0040] 15). Each customer and demand d i Related, fictionalize the peak demand of the dispatching station as d 0 = 0, ...

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Abstract

The invention discloses a vehicle route optimization method. The vehicle route optimization method includes that defining a vehicle route problem into a graph model, solving an inter-cluster cost route from a global view to acquire a feasible solution space, and optimizing the feasible solution space through a Monte Carlo method, genetic manipulation, a quantum rotating gate adaptive strategy and the like. The vehicle route optimization method is capable of solving the vehicle route problem in the global connection, optimizing the time and space complexity in the problem solving process, and avoiding premature convergence. The vehicle route problem refers to that a certain number of customers have different numbers of goods demands, a distribution center provides goods for the customers, one motorcade is responsible for distributing goods, and proper driving routes are organized to meet the demands of the customers and achieve the aims of shortest journey, lowest cost, shortest time consumption and the like under a certain constraints.

Description

Technical field [0001] The invention relates to an optimization method for a vehicle path problem, which mainly solves the minimum cost path between clusters from a global perspective to optimize the feasible solution space of the vehicle path problem, and belongs to the application field of computer technology, information technology, and artificial intelligence technology. Background technique [0002] Genetic algorithm is a computational model that simulates the biological evolution process of natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method of searching for the optimal solution by simulating the natural evolution process. The algorithm is a kind of evolutionary law (suitable for reference). The survival of the fittest, the survival of the fittest (genetic mechanism of the survival of the fittest) has evolved from the randomized search method. Its main feature is to directly operate on structural objects without the limitation of d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/12
CPCG06N3/126G06Q10/047G06Q50/28
Inventor 陈志卢海燕岳文静
Owner NANJING UNIV OF POSTS & TELECOMM
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