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Automatic wharf ALV (Automatic Lifting Vehicle) scheduling optimization method

A technology for automated wharf and optimized scheduling, applied in the direction of instruments, data processing applications, resources, etc., can solve problems affecting the efficiency of wharf operations, achieve the effects of reducing manual intervention, improving reliability, and reducing operating costs

Active Publication Date: 2018-09-28
DALIAN MARITIME UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that ALV location allocation and congestion affect the efficiency of wharf operations, the present invention provides an automated wharf ALV optimal scheduling method

Method used

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  • Automatic wharf ALV (Automatic Lifting Vehicle) scheduling optimization method
  • Automatic wharf ALV (Automatic Lifting Vehicle) scheduling optimization method
  • Automatic wharf ALV (Automatic Lifting Vehicle) scheduling optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0105] Such as figure 1 Shown, a kind of automatic wharf ALV optimal scheduling method comprises the following steps:

[0106] Step 1: Define the ALV individual as the scheduling object, combine the congestion situation on the ALV path and the location of the container in the yard, take the minimum time spent to complete all container tasks as the goal of optimizing ALV scheduling, and construct an optimal ALV scheduling mathematical model;

[0107] Step 2: Use a two-dimensional array to encode the container task, design a simulated annealing algorithm based on the shortest time principle, solve the optimized ALV scheduling mathematical model, and obtain the optimal ALV scheduling scheme under the given container task code and container type;

[0108] Said container type is an import box or an export box.

[0109] Further, in the above technical solution, the encoding method of the container task is decimal encoding.

[0110] Further, in the above technical solution, the con...

Embodiment 2

[0260] The difference between this embodiment and embodiment 1 is that the method for generating new codes in step (3) is to exchange code positions;

[0261] When exchanging code positions, randomly generate two exchange points and compare their corresponding container position codes. When the container position codes corresponding to the two exchange points are both positive or negative, that is, the container types are the same, exchange The codes of the third and fourth lines of the two exchange points, when the container types are different, repeat the above judgment process until the codes are successfully exchanged;

[0262] While exchanging the coding positions of the two groups of codes, the corresponding AYC codes are also swapped at the same time.

[0263] Swap the encoding positions for the following encodings:

[0264] Case number

0

1

2

3

4

QC (quay to shore)

1

2

1

1

2

ALV

1

3

2

3

2

AYC (f...

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Abstract

The invention discloses an automatic wharf ALV (Automatic Lifting Vehicle) scheduling optimization method which comprises the following steps of: S1: setting an ALV individual as a scheduling object,and by combining a congestion condition on an ALV path and positions of containers in a container yard and taking minimum time spent in completing all container tasks as a target of optimizing ALV scheduling, constructing an ALV scheduling optimization mathematical model; and S2: carrying out encoding on the container tasks by adopting a two-dimensional array, designing a simulated annealing algorithm on the basis of a shortest time principle, solving the ALV scheduling optimization mathematical model, and obtaining an optimal ALV scheduling scheme in a case of given container task codes and container types. According to the automatic wharf ALV scheduling optimization method disclosed by the invention, by designing the shortest time principle, the simulated annealing algorithm is designed,so that in the premise of ensuring that an optimal solution is found, a convergence rate of the model is greatly improved, and an application scene of the algorithm is improved.

Description

technical field [0001] The invention belongs to the field of optimal dispatching methods for transportation equipment, and in particular relates to an ALV optimal dispatching method for an automated wharf. Background technique [0002] With people's pursuit of high-quality life, the timeliness requirements for commodities are also getting higher and higher. As an important node of logistics and transportation, the operating efficiency of its operating equipment has attracted more and more attention. The container shipping volume and the development of large-scale ships have become a trend, which puts forward higher and higher requirements for the operating efficiency of the port. In order to reduce the operating cost of the terminal and improve the reliability of the operating system, automated container terminals are developing rapidly. Adopting automated equipment, reducing manual intervention, increasing the circulation speed of containers in the port, and enhancing the...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/28
CPCG06Q10/06316G06Q10/08
Inventor 曾庆成朱禹仲王泽浩王征陈康
Owner DALIAN MARITIME UNIVERSITY
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