The Design of Logistics Vehicle Scheduling System Based on Agent

Jian Yuan Feng

doi:10.4028/www.scientific.net/AMM.530-531.952

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531The Design of Logistics Vehicle Scheduling System...

The Design of Logistics Vehicle Scheduling System Based on Agent

Abstract:

We studied the logistics vehicle scheduling.We have used Unified Modeling Language (UML) for modeling and java agent development framework (JADE) to realize the Agent server-side interactive collaboration features and set up multi-Agent scheduling platform,and have also used the hybrid genetic algorithm to optimize the scheduling task. Through testing examples as well as the combination use of MATLAB and Visual C+ +, the vehicle Gantt chart has been generated to inspect the performance of optimization algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

952-955

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.952

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Online since:

February 2014

Authors:

Jian Yuan Feng*

Keywords:

Agent, Hybrid Genetic Algorithm, UML, Vehicle Scheduling

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* - Corresponding Author

References

[1] Waters C.D.J. Vehicle Scheduling Revisited. Journal of Operational Research Society． 1984, Vol. 35（2）：145－148.

Google Scholar

[2] Linus Schrage．Formulation And Structure of More Complex／Realistic Routing and Scheduling Problem 1981, Vol. 11: 229－232.

Google Scholar

[3] Bodin L. Gokden. B Classification in Vehicle Routing and Scheduling. Networks. 1981, Vol. 11：7－108.

Google Scholar

[4] Assad AA. Modeling and Implementation Issues In Vehicle Routing： Method and Studies（Ed． By B.L. Golden and A．A Assad） Studies in Management Science and Systems. North－Holland，Amsterdam (1988), Vol. 16: 7－45.

Google Scholar

[5] Desrocherg M, Lcustra J. K，Savelsbergh M W. A Classification scheme for Vehicle Routing and scheduling Problems. European journal of operational Research. (1990), Vol. 46: 322－332.

DOI: 10.1016/0377-2217(90)90007-x

Google Scholar

[6] Magnant j T.L. Combinatorial optimization and Vehicle Fleet Planning: Perspectives and Prospects. Networks. (1981), Vol. 11: 179－213.

DOI: 10.1002/net.3230110209

Google Scholar

[7] Bodin L. D, Golden B. L, Assad AA, Ball M. Routing and Scheduling of Vehicles and Crews：The State of Art. Computers＆operations Research. (1983), No. 10, 63-221.

Google Scholar

[8] Laporte G. The Vehicle Routing Problem: An overview of Exact and Approximate Algorithms．European Journal of operational Research. (1992), Vol. 59: 345—358.

DOI: 10.1016/0377-2217(92)90192-c

Google Scholar

[9] Laporte G, Osman I . H, Routing Problem: a Bibliography Ann．Operations Research (1995 ), Vol. 61: 227－262.

Google Scholar

[10] Wooldridge, M, N,R. Jennings. Intelligent Agents: Theory and Practice . Knowledge Engineering，(1995), 10(2).

Google Scholar

[11] PAN Jia-yu. UML Distilled: A Concise Guide to the Standard Object Modeling Language[M]. Beijing: Electronics Industry Press, (2012).

Google Scholar