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• W4323778081 abstract "In order to solve the problem of energy shortage, many countries have called on people to establish the concept of low-carbon and environmentally friendly travel. Among them, electric vehicles, as an important means of transport for energy saving and emission reduction, are widely concerned. However, as far as the construction of charging stations is concerned, there are still problems such as high investment costs and unreasonable layout. This paper takes the optimal layout of charging stations as an object, takes into account the construction costs of charging stations, operation costs, government subsidies, user travel costs, queuing time and other factors, combines multi-source data, constructs a charging station layout model based on multi-objective genetic algorithm and provides specific layout schemes." @default.
• W4323778081 created "2023-03-11" @default.
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• W4323778081 date "2023-01-01" @default.
• W4323778081 modified "2023-10-18" @default.
• W4323778081 title "Optimal Configuration of Charging Station Based on Multi-objective Genetic Algorithm" @default.
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• W4323778081 doi "https://doi.org/10.1007/978-981-99-0553-9_83" @default.
• W4323778081 hasPublicationYear "2023" @default.
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