Abstract
Urban residents' distribution needs such as small batch, personalization, convenience and high efficiency, as well as increasingly congested urban traffic, pose higher challenges to urban distribution efficiency. Logistics distribution is an important link in logistics activities, so it is necessary to optimize the dispatching of logistics distribution vehicles, rationally plan the driving routes of vehicles, and realize the minimum transportation cost. Scientific and reasonable planning of vehicle distribution path can reduce the distribution cost of enterprises, increase vehicle loading, improve customer satisfaction, and increase the profit and industry competitiveness of logistics enterprises. Through the analysis of vehicle scheduling and route selection in the process of logistics distribution, a multi type logistics distribution scheduling mathematical model is established, and an improved Genetic Algorithm (GA) is constructed on this basis, so as to optimize the algorithm efficiency of the scheduling model and reduce the calculation time and algorithm complexity, so as to obtain the optimal solution of the scheduling problem more effectively.
Published Version
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