Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms

IEEE Transactions on Cybernetics
Jiahai WangZibin Zheng

Abstract

This paper investigates a practical variant of the vehicle routing problem (VRP), called VRP with simultaneous delivery and pickup and time windows (VRPSDPTW), in the logistics industry. VRPSDPTW is an important logistics problem in closed-loop supply chain network optimization. VRPSDPTW exhibits multiobjective properties in real-world applications. In this paper, a general multiobjective VRPSDPTW (MO-VRPSDPTW) with five objectives is first defined, and then a set of MO-VRPSDPTW instances based on data from the real-world are introduced. These instances represent more realistic multiobjective nature and more challenging MO-VRPSDPTW cases. Finally, two algorithms, multiobjective local search (MOLS) and multiobjective memetic algorithm (MOMA), are designed, implemented and compared for solving MO-VRPSDPTW. The simulation results on the proposed real-world instances and traditional instances show that MOLS outperforms MOMA in most of instances. However, the superiority of MOLS over MOMA in real-world instances is not so obvious as in traditional instances.

References

Sep 14, 2002·Evolutionary Computation·Marco LaumannsEckart Zitzler
Aug 22, 2012·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Zhi-Hui ZhanYu-Hui Shi
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Sep 16, 2014·IEEE Transactions on Cybernetics·Liangjun KeRoberto Battiti

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Citations

Feb 1, 2017·IEEE Transactions on Cybernetics·Abdus Salam AzadSaikat Chakraborty
May 28, 2021·Environmental Science and Pollution Research International·Zeinab Zarrat Dakhely ParastHamzeh Amin-Tahmasbi

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