Research on Route Selection of Low-carbon Multimodal Transport Based on Mentor-Assisted Evolutionary Algorithm

This paper will use MAEA to solve the multimodal transport problem. This paper mainly studies the route selection of multimodal transport, considering carbon emissions and the carbon price in the carbon trading market for the cost of multimodal transport of goods. They are, firstly, establishing the multimodal transport route optimization model. Then, design an algorithm program based on MAEA. Finally, carry out an empirical analysis, and the results show that the program based on MAEA in this paper has good convergence.

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Published
2024-10-18
DOI
https://doi.org/10.1109/icdacai65086.2024.00161
Primary Topic
Vehicle Routing Optimization Methods
Type
article
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Research on Route Selection of Low-carbon Multimodal Transport Based on Mentor-Assisted Evolutionary Algorithm

DeLiang Wang, Jianjun Cao, Yinan Li, Na Cheng et al.
Vehicle Routing Optimization Methods
article

Research on Route Selection of Low-carbon Multimodal Transport Based on Mentor-Assisted Evolutionary Algorithm

DeLiang Wang, Jianjun Cao, Yinan Li, Na Cheng, Xinyu Yun, Ren Chen
article en

Abstract

This paper will use MAEA to solve the multimodal transport problem. This paper mainly studies the route selection of multimodal transport, considering carbon emissions and the carbon price in the carbon trading market for the cost of multimodal transport of goods. They are, firstly, establishing the multimodal transport route optimization model. Then, design an algorithm program based on MAEA. Finally, carry out an empirical analysis, and the results show that the program based on MAEA in this paper has good convergence.

Chongqing University (CN)
Openalex Percentile: Top 62%
Vehicle Routing Optimization Methods
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