New models for shortest path problem with fuzzy arc lengths

被引:53
|
作者
Ji, Xiaoyu [1 ]
Iwamura, Kakuzo
Shao, Zhen
机构
[1] Tsing Hua Univ, Dept Math Sci, Beijing 100084, Peoples R China
[2] Chinese Acad Sci, Sch Management, Beijing 100039, Peoples R China
基金
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词
shortest path; fuzzy programming model; genetic algorithm; fuzzy simulation;
D O I
10.1016/j.apm.2005.09.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper considers the shortest path problem with fuzzy arc lengths. According to different decision criteria, the concepts of expected shortest path, a-shortest path and the most shortest path in fuzzy environment are originally proposed, and three types of models are formulated. In order to solve these models, a hybrid intelligent algorithm integrating simulation and genetic algorithm is provided and some numerous examples are given to illustrate its effectiveness. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:259 / 269
页数:11
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