Optimal Scheduling for Port Logistics Alliance Operations Based on Genetic Taboo Hybrid Algorithm

Wei Zhang; Rong Wu

doi:10.4028/www.scientific.net/AMM.71-78.4207

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 71-78Optimal Scheduling for Port Logistics Alliance...

Optimal Scheduling for Port Logistics Alliance Operations Based on Genetic Taboo Hybrid Algorithm

Abstract:

In this paper, optimal scheduling on logistics task and logistics resources for the port logistics alliance operations is discussed, the logistics service cost and time of each node is comprehensively considered, in order to establish a multi-objective optimization model. At the same time, improve genetic algorithm in use of the advantage of tabu search climbing ability to design a genetic taboo hybrid algorithm, which enhances the solution efficiency. Hope this study can effectively realize optimal allocation on logistics resources and tasks for port logistics alliance.

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Periodical:

Applied Mechanics and Materials (Volumes 71-78)

Pages:

4207-4210

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.71-78.4207

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Online since:

July 2011

Authors:

Wei Zhang, Rong Wu

Keywords:

Genetic Tabu Hybrid Algorithm, Multi-Objective Optimization (MOP), Operation Scheduling, Port Logistics Alliance

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References

[1] David Pisinger, StefanRopke. A general heuristic for vehicle routing problems[J]. Computers & Operations Research, 2007(34): 2403-2435.

DOI: 10.1016/j.cor.2005.09.012

Google Scholar

[2] Jean-Yves Potvin, Ying Xu, Ilham Benyahia. Vehicle routing and schedulingwith dynamic travel times[J]. Computers&Operations Research, 2006(33): 1129-1137.

DOI: 10.1016/j.cor.2004.09.015

Google Scholar

[2] .

Google Scholar

[3] Xu Xinming, Chen Peiyou. Review of Logistics scheduling optimization[J]. Business Research, 2009 (5) : 107-111.

Google Scholar

[4] Liu Qiong, Li Tingting, Zhang Chaoyong. The optimal scheduling of logistics task for the third-party logistics alliances[J]. Industrial Engineering and Management, 2009 (6): 13-19.

Google Scholar

[5] Ning Fanghua, Chen zichen, Xiong Li, et al. task collaborating model in the task collaborating logistics network and its solution algorithm [J]. Control and Decision, 2007, 22 (1): 109-112.

Google Scholar