Vehicle routing problem (VRP) is a practical problem with important value and significance in the logistics industry. Most of the existing mathematical simulation models and algorithms for solving the models focus on the combination of the shortest distribution path problem of electric vehicles with distance and time windows. This article starts from reducing energy consumption, saving resources, and reducing costs, and focuses on the research of electric vehicles. The shortest distribution path also considers the mathematical modeling and solution of the load. In order to accelerate the evolution, a genetic algorithm of evolutionary reversal operation is proposed. The above research results are conducive to reducing costs and saving resources in the process of adopting electric vehicle distribution for logistics enterprises.
Under the background of the energy revolution, the energy structure is constantly optimized, the proportion of primary energy consumption such as fossil energy is continuing to decline, and low-carbon economy is an important trend of global economic development. However, coal power is the main power source positioning in the short term will not change. Therefore, we should constantly adjust the energy structure at the same time, strengthen the low-carbon use of primary energy, reduce carbon emissions. Reducing carbon emissions in the coal supply chain is an important measure under the "low carbon policy". Therefore, this paper mainly focuses on the coal supply chain carbon dioxide emissions research and analysis, discusses the main sources of carbon emissions and key factors, the construction of interpretation structure model for the analysis and ranking of nine major factors, and divide it into levels. Finally, according to the results of the analysis, some rationalization suggestions are put forward to the relevant enterprises in the coal supply chain to realize the low carbon development of coal supply chain network.
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