| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1707277 | Applied Mathematical Modelling | 2007 | 11 Pages |
Abstract
This paper considers the shortest path problem with fuzzy arc lengths. According to different decision criteria, the concepts of expected shortest path, α-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.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Xiaoyu Ji, Kakuzo Iwamura, Zhen Shao,