Railway freight transportation planning with mixed uncertainty of randomness and fuzziness

被引：51

作者：

Yang, Lixing ^{[1
]}

Gao, Ziyou ^{[1
]}

Li, Keping ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China

来源：

APPLIED SOFT COMPUTING | 2011年 / 11卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Railway freight transportation planning; Random fuzzy variable; Pessimistic value; Optimistic value; Chance measure; SERVICE NETWORK DESIGN; RAILROAD OPERATING PLANS; MODEL;

D O I：

10.1016/j.asoc.2009.12.039

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The railway freight transportation planning problem under the mixed uncertain environment of fuzziness and randomness is investigated in this paper, in which the optimal paths, the amount of commodities passing through each path and the frequency of services need to be determined. Based on the chance measure and critical values of the random fuzzy variable, three chance-constrained programming models are constructed for the problem with respect to different criteria. Some equivalents of objectives and constraints are also discussed in order to investigate mathematical properties of the models. To solve the models, a potential path searching algorithm, simulation algorithms and a genetic algorithm are integrated as a hybrid algorithm to solve an optimal solution. Finally, some numerical examples are performed to show the applications of the models and the algorithm. (c) 2010 Elsevier B. V. All rights reserved.

引用

页码：778 / 792

页数：15

共 27 条

[1] Optimising train movements through coast control using genetic algorithms [J].