Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4637531 | Applied Mathematics and Computation | 2006 | 11 Pages |
Abstract
Vehicle routing problem is concerned with finding efficient routes, beginning and ending at a central depot, for a fleet of vehicles to serve a number of customers with demands for some commodity. This paper considers the vehicle routing problem in which the travel times are assumed to be fuzzy variables. A fuzzy optimization model is designed for fuzzy vehicle routing problem with time window. Moreover, fuzzy simulation and genetic algorithm are integrated to design a hybrid intelligent algorithm to solve the fuzzy vehicle routing model. Finally, a numerical example is given to show the effectiveness of the algorithm.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yongshuang Zheng, Baoding Liu,