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author:

Liu, Hong (Liu, Hong.) [1] (Scholars:刘虹) | Wang, Wenping (Wang, Wenping.) [2] | Zhang, Qishan (Zhang, Qishan.) [3] (Scholars:张岐山)

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EI 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:

Location Multiobjective optimization Particle swarm optimization (PSO) System theory

Community:

  • [ 1 ] [Liu, Hong]School of Economics and Management, Southeast University, Nanjing, China
  • [ 2 ] [Liu, Hong]School of Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Wang, Wenping]School of Economics and Management, Southeast University, Nanjing, China
  • [ 4 ] [Zhang, Qishan]School of Management, Fuzhou University, Fuzhou, China

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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: 3

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