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A Hybrid Metaheuristic Algorithm for the Logistics Routing-Loading Scheduling Problem

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2 Author(s)
Tong Zhen ; Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou ; Qiuwen Zhang

In this paper a logistics transportation problem including routing, scheduling and loading tasks is presented. Most of the related works only involve the solution of routing and scheduling, as a combination of up to six different types of VRPs (Rich VRP), leaving away the loading task, which are not enough to define more complex real-world cases. We propose a solution methodology for transportation instances that involve six types of VRPs, a new constraint that limits the number of vehicles that can be attended simultaneously and the loading tasks. They are solved using an ant colony system algorithm, which is a hybrid metaheuristic. Results from a computational test using real-world instances show that the proposed approach outperforms the transportation planning related to manual designs. Besides a well-known VRP benchmark was solved to validate the approach.

Published in:

MultiMedia and Information Technology, 2008. MMIT '08. International Conference on

Date of Conference:

30-31 Dec. 2008

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