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author:

Fang, Yunfei (Fang, Yunfei.) [1] (Scholars:方云飞) | Chen, Kejia (Chen, Kejia.) [2] (Scholars:陈可嘉) | Chu, Feng (Chu, Feng.) [3] | Wu, Peng (Wu, Peng.) [4] (Scholars:吴鹏)

Indexed by:

EI Scopus

Abstract:

This paper studies a new dial-a-ride problem (DARP) called multiple depots heterogeneous dial-a-ride problem with flexible depots (MHDARP-FD), which considered multiple depots, heterogeneous vehicles and users, and flexible depots. The assumption of flexible depots allows the vehicle to end its route at any depot. As a result, the total travel cost may be reduced. A mixed integer nonlinear programming model was firstly formulated for the considered problem. To make the MHDARP-FD tractable, the original model was reformulated by linearizing constraints, aggregating variables, and strengthening model. The new model is solved by the state-of-the-art IP solver CPLEX. Computational results of numerical experiments show the validity of the proposed model and its effectiveness for addressing realistic problem. © 2017 IEEE.

Keyword:

Finite difference method Integer programming Nonlinear programming Optimization

Community:

  • [ 1 ] [Fang, Yunfei]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 2 ] [Chen, Kejia]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Chu, Feng]Laboratory IBISC, University of Evry-Val d'Essonne, Evry, France
  • [ 4 ] [Wu, Peng]School of Economics and Management, Fuzhou University, Fuzhou, China

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Year: 2017

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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