Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands
Joint Authors
Kou, Gang
Liu, Chang-shi
Huang, Fu-hua
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The vehicle routing problem with fuzzy demands (VRPFD) is considered.
A fuzzy reasoning constrained program model is formulated for VRPFD, and a hybrid ant colony algorithm is proposed to minimize total travel distance.
Specifically, the two-vehicle-paired loop coordinated strategy is presented to reduce the additional distance, unloading times, and waste capacity caused by the service failure due to the uncertain demands.
Finally, numerical examples are presented to demonstrate the effectiveness of the proposed approaches.
American Psychological Association (APA)
Liu, Chang-shi& Kou, Gang& Huang, Fu-hua. 2016. Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112801
Modern Language Association (MLA)
Liu, Chang-shi…[et al.]. Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112801
American Medical Association (AMA)
Liu, Chang-shi& Kou, Gang& Huang, Fu-hua. Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112801
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112801
