GIS and differential evolution algorithm-based railway line double-layer optimization method

A differential evolution algorithm and double-layer optimization technology, applied in the field of railway engineering, can solve problems such as the inability to find the best route plan

Active Publication Date: 2020-08-28
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

At present, the traditional route design determines the implementation plan through the comparison of several plans and the adjustment of local sections of the plan. Due to the complexity of the geographical environment, the diversity of follow-up professional requirements, and the comprehensive cost calculation, the manual design method based on the empirical model Generally unable to find the best route solution

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  • GIS and differential evolution algorithm-based railway line double-layer optimization method
  • GIS and differential evolution algorithm-based railway line double-layer optimization method
  • GIS and differential evolution algorithm-based railway line double-layer optimization method

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Embodiment

[0074] A double-layer optimization method for railway lines based on GIS and differential evolution algorithm, comprising the following steps:

[0075] S1: Use GIS technology to construct a digital elevation model and environmental constraint objects between the start point and the end point of the line;

[0076] S2: Construct the total investment objective function according to the project cost composition, digital elevation model and environmental constraint objects;

[0077] S3: Determine the corresponding optimization strategy parameters according to the position of the intersection point; in this embodiment, the optimization strategy parameters include design variables, value ranges of the design variables, and optimization loop termination conditions; wherein, the design variables include the coordinates [X, Y] of the plane intersection points , the plane curve radius R, the mileage L of the slope change point of the longitudinal section, and the elevation H of the slope...

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Abstract

The invention discloses a GIS (Geographic Information System) and differential evolution algorithm-based railway line double-layer optimization method. The optimization method comprises the followingfour steps of: firstly, constructing a digital elevation model and an environmental constraint object between a starting point and an end point of a line by utilizing a GIS technology; determining a total investment objective function in combination with the engineering cost composition, the digital elevation model and the environmental constraint object; determining corresponding optimization strategy parameters according to the intersection point distribution, namely a design variable, a design variable value range and an optimization cycle termination condition; and finally, initializing ascheme population, carrying out differential evolution on the scheme population according to the double-layer optimization model of the nested vertical section optimization process in the planar optimization process, and selecting a line scheme with a minimum total investment objective function value as a final optimization line after a loop termination condition is met. The invention aims to provide an effective way for realizing intelligent optimization design of a railway line in a GIS environment, and points out the step of solving the optimization problem of the railway line by the swarmintelligence evolutionary algorithm.

Description

technical field [0001] The invention relates to the technical field of railway engineering, in particular to a double-layer optimization method for railway lines based on GIS and differential evolution algorithm. Background technique [0002] Artificial intelligence is a strategic technology leading the future, and related software products have been deeply applied in many fields such as e-commerce, equipment manufacturing, logistics and transportation, transportation planning, and public management. The construction process is also combined with artificial intelligence software to improve construction speed and accuracy. In the engineering design industry, computer-aided design software as a basic production tool is developing in the direction of 3D information models, but 3D information models are only program expression tools and cannot replace engineers' meticulous design ideas and methods. In the railway design process, the line plane and longitudinal section diagrams ...

Claims

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Application Information

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IPC IPC(8): G06F30/13G06N3/00G06F16/29G06F111/06
CPCG06F30/13G06N3/006G06F16/29G06F2111/06
Inventor 杨冬营何庆曾勇任东亚易思蓉王平何安静
Owner SOUTHWEST JIAOTONG UNIV
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