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Cold-chain logistics vehicle path selection method based on improved particle swarm algorithm

A technology for vehicle path selection and particle swarm improvement. It is applied in logistics, calculation, calculation model, etc. It can solve the problems of limited and unconsidered methane and nitrous oxide, so as to improve economic benefits, realize economy and environment, and prevent environmental problems. Effects of pollution problems

Pending Publication Date: 2020-11-10
NINGBO UNIVERSITY OF TECHNOLOGY
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  • Description
  • Claims
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Problems solved by technology

However, previous studies, especially on the route selection of green cold chain logistics vehicles, are relatively limited; the only studies only focus on greenhouse gas emissions, and do not consider methane and nitrous oxide.

Method used

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  • Cold-chain logistics vehicle path selection method based on improved particle swarm algorithm
  • Cold-chain logistics vehicle path selection method based on improved particle swarm algorithm
  • Cold-chain logistics vehicle path selection method based on improved particle swarm algorithm

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Embodiment

[0043] The route selection method for cold chain logistics vehicles based on the improved particle swarm algorithm in the present invention is as attached figure 1 As shown, a cold chain distribution company located in Chongqing, referred to as "C", they distribute fresh vegetables to customers in the central area of ​​the city. as attached figure 2 As shown, 16 stores are located through Baidu map, 1-16 stores are customer distribution points, and DC is the distribution center.

[0044] Convert the latitude and longitude coordinates of 16 customer points into plane X and Y coordinates, as shown in Table 1, and display the 16 customer location coordinates, demand and time window; the X and Y coordinates of DC are (628.298, 3281.896).

[0045] Table 1 16 customer information tables

[0046]

[0047] Further, set the model parameters for the objective function, as shown in Table 2. Refer to the existing particle swarm optimization algorithm to set parameters for the model...

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Abstract

The invention discloses a cold-chain logistics vehicle path selection method based on an improved particle swarm algorithm, which abstracts a logistics vehicle into particles, and comprises the following steps: S1, randomly generating a particle swarm, and setting parameters of the particle swarm; S2, randomly generating positions and speeds of all particles in the particle swarm; S3, calculatingthe fitness value of each particle in the particle swarm according to the fitness function after the particle swarm algorithm is improved; S4, updating the position and the speed of each particle in the particle swarm by tracking the individual extreme value and the global optimum of the fitness function in the step S3; and S5, determining whether a target condition is met, and if the target condition is met, obtaining an optimal solution; otherwise, returning to the step S3. According to the method, the particle swarm optimization algorithm is improved, multiple costs generated in emission and distribution of various greenhouse gases are comprehensively considered, and the total cost of the cold-chain logistics vehicle under each path is calculated, so that the optimal distribution path with less greenhouse gas emission and low distribution cost is selected.

Description

technical field [0001] The present invention relates to the technical field of path selection for cold chain logistics vehicles, in particular to a method for path selection of cold chain logistics vehicles based on an improved particle swarm optimization algorithm. Background technique [0002] In recent years, the problem of global warming has become more and more serious, and meteorologists believe that the increase in the concentration of greenhouse gases in the atmosphere is the main cause of global warming. By 2020, the energy consumption per unit of vehicles needs to be reduced by 10%, of which the energy consumption per unit of freight transport needs to be reduced by 12%, in order to achieve sustainable economic development. Therefore, it is crucial to ensure the minimization of greenhouse gas emissions and achieve a win-win situation for the economy and the environment, especially in the research field of the energy-intensive cold chain logistics industry. [0003...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06N3/00
CPCG06Q10/047G06Q10/08355G06N3/006
Inventor 侯丽朱玲娜张奇松
Owner NINGBO UNIVERSITY OF TECHNOLOGY
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