A scheduling strategy for dynamic vehicle routing problem based on double chains coding

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  • 1.College of Information and Technology, Dalian Maritime University, Dalian   116026, Liaoning, China; 2.Institute of Software, Dalian Jiaotong University, Dalian  116045, Liaoning, China

Received date: 2014-09-28

  Online published: 2015-06-15

Abstract

For the purpose of solving the scheduling of dynamic vehicle routing problem, this paper establishes the simulation model to minimize the cost and stability value and maximize the freight rate, and an improved hybrid multi-phases quantum particle swarm algorithm was proposed. Firstly, it proposes the method of double chains structure coding including vehicle allocation chain and goods chain. Secondly, it proposes a dynamic scheduling strategy based on period-driven and event-driven. Finally, a novel method is applied to a dynamic simulation and the result of comparing with other classical algorithms verifies its effectiveness.

Cite this article

NING Tao, CHEN Rong, GUO Chen, LIANG Xu . A scheduling strategy for dynamic vehicle routing problem based on double chains coding[J]. Operations Research Transactions, 2015 , 19(2) : 72 -82 . DOI: 10.15960/j.cnki.issn.1007-6093.2015.02.008

References

 
 Teodorovic D, Radivojevic G. A fuzzy logic approach to dynamic Dial-A-Ride problem [J].  Fuzzy Set and Systems, 2000, 116(16): 23-33.

 张建勇, 郭耀煌, 李军. 模糊需求信息条件下的车辆路径问题研究 [J]. 系统工程学报, 2004, 19(1): 74-78.
 Fu Z, Eglese R, Li LY. Corrigendum: A new tabu search algorithm for the open vehicle routing problem [J]. Journal of the Operational Research Society, 2006, 57(8): 1008-1018.
宁涛. 混合量子算法在车辆路径问题中应用的研究 [D]. 大连: 大连海事大学, 2013.

 Ishibuchi H, Murata T. A multi-objective genetic local search algorithm and its application to flow shop scheduling [J]. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 1998, 28(3): 392-403.

 Fattahi P, Fallahi A. dynamic scheduling in flexible job shop systems by considering simultaneously efficiency and stability [J]. Journal of Manufacturing Science and Technology, 2010, 2(2): 114-123.

 Bagheri A, Zandith M, Mahdavi I, et al. An artificial immune algorithm for the flexible job-shop scheduling problem [J]. Future Generation Computer Systems, 2010, 26(4): 533-541.

 汤健超. 基于混合进化算法的若干调度问题研究 [D]. 广州: 华南理工大学, 2012.

 张利平. 作业车间预反应式动态调度理论与方法研究 [D]. 武汉: 华中科技大学, 2013.

 Seyed H A, Rahmat M, Zandieh M Y. Developing two multi-objective evolutionary algorithms for the multi-objective flexible job shop scheduling problem [J]. The International Journal of Advanced Manufacturing Technology, 2013, 64(5): 915-932.

 

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