Research on Smart Logistics and Distribution Path Optimization Using Genetic Algorithm

Against the background of increasingly severe energy consumption and environmental pollution, the development of a low-carbon economy is an inevitable trend for China to achieve sustainable development. Logistics, as a large energy consumption and greenhouse gas emissions major, has attracted much attention to its low-carbon operation mode. It is crucial to study the problem of vehicle routing from a low-carbon perspective to reduce the carbon emissions of cold chain logistics. This paper analyzes the main problems of vehicle path optimization from a low-carbon perspective by comparing relevant domestic and foreign literatures, discusses their solutions, and proposes prospects for future research.