Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands

Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands

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 r...

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Main Authors: Chang-shi Liu, Gang Kou, Fu-hua Huang
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/9071394
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spelling doaj-2e2001a73a194ee3a912f817a07b14b62020-11-25T01:00:18ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/90713949071394Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy DemandsChang-shi Liu0Gang Kou1Fu-hua Huang2School of Management, Hunan University of Commerce, Changsha 410205, ChinaSchool of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, ChinaSchool of Management, Hunan University of Commerce, Changsha 410205, ChinaThe 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.http://dx.doi.org/10.1155/2016/9071394
collection DOAJ
language English
format Article
sources DOAJ
author Chang-shi Liu
Gang Kou
Fu-hua Huang
spellingShingle Chang-shi Liu
Gang Kou
Fu-hua Huang
Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands
Mathematical Problems in Engineering
author_facet Chang-shi Liu
Gang Kou
Fu-hua Huang
author_sort Chang-shi Liu
title Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands
title_short Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands
title_full Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands
title_fullStr Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands
title_full_unstemmed Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands
title_sort vehicle coordinated strategy for vehicle routing problem with fuzzy demands
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description 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.
url http://dx.doi.org/10.1155/2016/9071394
work_keys_str_mv AT changshiliu vehiclecoordinatedstrategyforvehicleroutingproblemwithfuzzydemands
AT gangkou vehiclecoordinatedstrategyforvehicleroutingproblemwithfuzzydemands
AT fuhuahuang vehiclecoordinatedstrategyforvehicleroutingproblemwithfuzzydemands
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