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Cargo loading method and device, and computer readable medium

A technology for loading devices and goods, applied in the field of computer-readable media, loading methods and devices for vehicle-mounted goods, capable of solving problems such as inability to solve large-scale logistics loading problems, and achieving the effect of fast calculation speed

Active Publication Date: 2021-03-23
ANJI AUTOMOTIVE LOGISTICS +1
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Problems solved by technology

[0005] Therefore, the existing solutions cannot solve the problem of large-scale logistics loading

Method used

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  • Cargo loading method and device, and computer readable medium
  • Cargo loading method and device, and computer readable medium
  • Cargo loading method and device, and computer readable medium

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Experimental program
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Embodiment Construction

[0049] The existing loading method of vehicle-mounted goods mainly uses heuristic algorithm to exhaustively pack the scheme in a limited space, the packing rate is not high, and the calculation takes a long time, so it is not suitable for large-scale calculation. Heuristic algorithms that solve faster, such as the particle swarm optimization algorithm, can get the solution quickly, but the quality of the solution is not high. Therefore, the existing solutions cannot solve the problem of large-scale logistics loading.

[0050] In the embodiment of the present invention, based on the random number and the preset probability parameter, it is determined that the selection strategy of the loading action is a random selection strategy, or a selection strategy based on a neural network, and then based on the selection strategy of the loading action, the corresponding loading action is selected. Action and place the corresponding goods. Since different loading actions can be selected...

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Abstract

The invention provides a loading method and device for vehicle-mounted goods, and a computer readable medium. The loading method for the vehicle-mounted goods includes steps of: generating a random number; determining a selection strategy of the loading action based on the random number and a preset probability parameter, wherein the selection strategy of the loading action includes any one of thefollowing: a random selection strategy and a neural network based selection strategy; and based on the selection strategy of the loading action, selecting a corresponding loading action and placing the corresponding goods. Applying the above scheme, since different loading actions can be selected based on the neural network, different loading actions can be evaluated in a probability statistics manner, the calculation speed is fast, and the large-scale logistics loading problem can be solved.

Description

technical field [0001] Embodiments of the present invention relate to the field of solving combinatorial optimization problems, and in particular, to a method and device for loading cargo on a vehicle, and a computer-readable medium. Background technique [0002] For logistics systems, the loading method of on-board goods is a very important technical issue. The loading method of vehicle-mounted goods is a box-packing problem. Box-packing problems widely exist in various fields such as industrial production and computer science, such as fabric cutting in the clothing industry, container loading in the transportation industry, sheet-type blanking in the processing industry, and printing industry. Nesting, packaging and organizing objects in real life, and multi-processor task scheduling, resource allocation, file allocation, memory management and other low-level operations in the computer field. [0003] In terms of computational complexity, the bin packing problem is a non-...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/08G06N3/08
CPCG06N3/084G06Q10/04G06Q10/083
Inventor 金忠孝戴昌志
Owner ANJI AUTOMOTIVE LOGISTICS
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