摘要
通过计算机模拟仿真得到各间隔的参数 ,而后转化为多目标规划再求解 .对已有的数据进行分析 ,运用模糊聚类分析法 ,将一工作日分为若干段 .问题 1:对模型 1考虑了乘客的上下车人次都是定长 (均匀 )分布 ,通过计算机仿真求得各间隔的参数 ,然后通过多目标规划进行求解 ,并得到最终解 .对于模型 2我们考虑了乘客的上下车人数都是服从Poisson分布 ,用MonteCarlo法进行仿真 ,然后通过多目标规划进行求解 ,并得到最终解 .问题 2 :在求解过程中时间段的划分对其程序有很大程度的影响 ,在实际采集数据中应当注意到各个时间段 .
The parameters of each interval were obtained by simulating on computer and turned into multi objective planning in order to solve the problem.The avaiable data were analyzed.The method of fuzzy assembling type was applied and one workday was divided into several time periods. Problem 1:In Model 1,the mumber of passengers' getting on and off buses is consldered to be distributed evenly.The parameters of each interval were obtained by simulating on computer.The problem was solved by multi-objective planning to find out the final solution.In Model 2,the mumber of passengers getting on and off busses is considered to obey the Passion Distribution.Simulated by the method of Monte Carlo,the problem was solved by multi-objective planning to get the final solution. Problem 2: The program was greatly affected by the time period division,which showld be paid great attention to during actual data collections.
出处
《浙江万里学院学报》
2002年第1期14-18,共5页
Journal of Zhejiang Wanli University
