基于遗传算法的共享汽车站点选址布局及优化设计

Location selection and optimization design of shared vehicle site based on genetic algorithm

共享汽车由于具有诸多优点,在许多城市发展迅速,但有些城市的共享汽车站点存在着供需不平衡、选址不合理等问题。文章通过调研镇江市共享汽车站点选址布局,利用Matlab基于遗传算法对站点布局进行优化设计,得到更优的布局方案,满足出行需求,提高社会效益。

Shared vehicle has many advantages and develops rapidly in many cities, but there are some problems in some cities, such as unbalanced supply and demand, unreasonable location and so on. Through the investigation of the location layout of the shared vehicle station in Zhenjiang City, this paper uses Matlab to optimize the site layout based on genetic algorithm, and obtains a better layout scheme to meet the travel demand and improve the social benefits.