摘要
针对城市共享单车优化分布问题,以昆明市ofo小黄车为例,对共享单车停放地区数量分配问题构建模型,为共享单车资源优化配置提供理论依据。采用细菌菌落优化算法,即一种基于群集智能优化算法的仿生随机优化算法,用于解决城市共享单车停放地区数量分布问题。该算法为解决共享单车数量分布问题提供了一种新途径。
Aiming at the problem of optimal distribution of shared bicycles in the city, taking Kunming＇s ofo small yellow car as an example, themodel of the number allocation of shared bicycle parking areas is constructed to provide a theoretical basis for the optimal allocation of shared bicycleresources. The bacterial colony optimization algorithm, a bionic stochastic optimization algorithm based on the cluster intelligent optimization algorithm,is used to solve the problem of the number distribution of urban shared bicycle parking areas. The algorithm provides a new way to solve the problemof the number of shared bicycles.
作者
戴丽
DAI Li(College of Mechanical and Manufacturing Engineering,Southwest Forestry University,Kunming Yunnan 65022)
出处
《数字技术与应用》
2018年第8期117-118,共2页
Digital Technology & Application
基金
西南林业大学科技创新基金项目(Z17022)
国家自然科学基金(31760182)
关键词
群集智能优化算法
细菌菌落优化算法
共享单车
分布研究
swarm intelligence optimization algorithm
bacterial colony optimization algorithm
shared bicycle
distribution study
