Paper
4 September 2024 Comprehensive global layout optimization of RGV track system route based on autoregressive model
Xiaotao Liu, Long Shi, Huaxin Liu, Jiachen Zhang, Zeyu Wang, Dawei Dai
Author Affiliations +
Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132590N (2024) https://doi.org/10.1117/12.3039738
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China
Abstract
In order to improve the rationality of the layout of the RGV track system, a comprehensive global layout optimization method for the RGV track system based on an autoregressive model was designed. Plan the overall layout route of the RGV rail system to ensure that the rail layout can adapt to different loading and unloading needs. We have constructed an autoregressive model for optimizing the overall layout of the RGV rail system to achieve higher transportation efficiency, lower energy consumption, and less congestion. Optimize the overall layout of the RGV track system through a multithreaded operation mechanism, achieving layout optimization. The calculation example shows that this method has good layout optimization effect and can be applied in practical production.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaotao Liu, Long Shi, Huaxin Liu, Jiachen Zhang, Zeyu Wang, and Dawei Dai "Comprehensive global layout optimization of RGV track system route based on autoregressive model", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132590N (4 September 2024); https://doi.org/10.1117/12.3039738
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KEYWORDS
Mathematical optimization

Autoregressive models

Transportation

Energy efficiency

Data modeling

Design

Fire

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