Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands-Reference-Cited by-同舟云学术

Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands

Published:2016 Issue: Volume:2016 Page:1-10
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Liu Chang-shi¹²³⁴,Kou Gang⁵^ORCID,Huang Fu-hua¹

Affiliation:

1. School of Management, Hunan University of Commerce, Changsha 410205, China

2. Mobile E-Business Collaborative Innovation Center of Hunan Province, Hunan University of Commerce, Changsha 410205, China

3. Key Laboratory of Hunan Province for Mobile Business Intelligence, Hunan University of Commerce, Changsha 410205, China

4. Institute of Big Data and Internet Innovation, Hunan University of Commerce, Changsha 410205, China

5. School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2016/9071394.pdf

Reference29 articles.

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