Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands. (30th August 2016)

• Record Type: Journal Article
• Authors: Liu, Chang-shi; Kou, Gang; Huang, Fu-hua
• Other Names: Hanne Thomas Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2016(2016)
• Publication Date: 2016-08-30
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2016/9071394
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.