基于遗传算法的共享汽车网点整合优化

he development of China's car-sharing industry is in a period of rapid growth, and car-sharing enterprises have increased their market competitiveness by increasing the number of vehicles, which has caused a lot of waste of resources. Therefore, this paper studies the integration optimization of car-sharing networks from the perspective of resource sharing. Firstly, it set up an integration optimization model of car-sharing networks considering resource sharing by retaining or abandoning existing car-sharing networks and potential networks and redefining the number of vehicles at each network. Secondly, according to the characteristics of the model, a genetic algorithm based on 0-1 coding is designed to solve it; Thirdly, this paper makes a comparison between the results of user travel cost, vehicle utilization rate, enterprise operation cost and integration transformation cost before and after optimization through the analysis of examples. Finally, the parameter analysis of the new network cost, unit vehicle purchase cost, vehicle residual value recovery rate is carried out. The example results verify the feasibility and effectiveness of the model, and provide reasonable reference suggestions for the integration and optimization of shared automobile network.