A robust optimization model based on conditional expectation for vehicle routing problem with stochastic demands

被引：0

作者：

Sun, Liang ^{[1
,2
]}

Xiao-Yuan, W. ^{[2
]}

机构：

[1] School of Metratronic Engineering and automation, Shanghai university, Shanghai, 200072, China

[2] School of Transportation and vehicle engineering, Shandong university of technology, Zibo, 255049, China

来源：

International Journal of Applied Mathematics and Statistics | 2013年 / 41卷 / 11期

关键词：

Stochastic systems - Vehicle routing - Optimization - Mean square error - Probability distributions - Stochastic models - Vehicles;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A new conditional expectation- semi-deviation robust model (CE-SDRM) was proposed. The probability distribution of the stochastic demands will change with the maximal supplying ability of the vehicle depot, so the minimization of the conditional expectation of the total transportation cost , other than the expectation of the total transportation cost, under the condition that the supplying ability of the depot is maximized, was adopted as the optimization objective. By so doing the large deviation of the expectation in the sense of mean square error of expectation value model(EVM) can be decreased. Finally, the effectiveness of theoretical results was further demonstrated by simulation analysis. © 2013 by CESER Publications.

引用

页码：157 / 162