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author:

Liu, H. (Liu, H..) [1] | Wang, W. (Wang, W..) [2] | Zhang, Q. (Zhang, Q..) [3]

Indexed by:

Scopus

Abstract:

There are many objectives in location-routing problem of reverse logistics, which are helpful to improve practicability of reverse logistics. In this paper, a multi-objective programming model about location-routing of reverse logistics is proposed, and grey relational analysis and particle swarm optimization are combined to resolve it. The results of example show that the model and multi-objective algorithm are effective for dealing with multi-objective location-routing problem of reverse logistics. © 2011 IEEE.

Keyword:

grey relational analysis; location-routing problem; multi-objective; particle swarm optimization; reverse logistics

Community:

  • [ 1 ] [Liu, H.]School of Economics and Management, Southeast University, Nanjing, China
  • [ 2 ] [Liu, H.]School of Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Wang, W.]School of Economics and Management, Southeast University, Nanjing, China
  • [ 4 ] [Zhang, Q.]School of Management, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Liu, H.]School of Economics and Management, Southeast University, Nanjing, China

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Source :

Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services, GSIS'11 - Joint with the 15th WOSC International Congress on Cybernetics and Systems

Year: 2011

Page: 97-100

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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