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A hybrid heuristic algorithm for urban distribution with simultaneous pickup-delivery and time window

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Abstract

With the continuous development of urban distribution services, customers have increasingly strict requirements for the delivery time windows. Therefore it is necessary to study the vehicle routing problem with simultaneous pickup-delivery and time windows (VRPSPDTW) in urban distribution. However, as one of the most important classification of the much anticipated reverse logistics, the VRPSPDTW problem has not received much attention, and lacks an efficient and simple implementation. Our method combines the enhanced Late Acceptance Hill Climbing algorithm (enhanced LAHC) to ensure the diversity of solutions and the Multi-armed Bandit Algorithm (MAB) to choose a neighborhood structure which has the best performance. In order to enhance its search ability at a later stage, a perturbation strategy is designed to effectively prevent premature convergence. To our best knowledge, the proposed h_LAHC (hybrid LAHC) algorithm is applied to the VRPSPDTW for the first time. We provide abundant experiments were conducted on 93 benchmark instances, and the results demonstrated that our algorithm can achieve better, totally equal or approximately equal results in 97.85%, 56.99% and 73.12% instances compared with the latest three mainstream algorithms respectively. In particular, the proposed algorithm has a prominent performance in scenarios with relatively narrow time windows. Moreover, we conduct an empirical analysis on critical components of the algorithm to highlight their impact on the performance of the proposed algorithm.

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Acknowledgements

This work is supported by the Major Program of Guangdong Basic and Applied Research under Grant 2019B030302 002, the Science and Technology Major Project of Guangzhou under Grant 202007030006, the Engineering and Technology Research Center of Guangdong Province for Logistics Supply Chain and Internet of Things under Grant GDDST[2016]176, the Industrial Development Fund Project of Guangzhou under Project x2jsD8183470.

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Correspondence to Mengke Gui or Yang Zhang.

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A Experimental results

A Experimental results

Table 6 Comparison between GA, p_SA, and h_LAHC on medium-scale instances of type 1
Table 7 Comparison between ALNS_PR, VNS_BSTS and h_LAHC on medium-scale instances of type 1
Table 8 Comparison between GA, p_SA, and h_LAHC on medium-scale instances of type 2
Table 9 Comparison between ALNS_PR, VNS_BSTS and h_LAHC on medium-scale instances of type 2
Table 10 Comparison between p_SA, VNS_BSTS and h_LAHC on large-scale instances
Table 11 Comparison between ALNS_PR and h_LAHC on large-scale instances

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Liu, F., Wang, L., Gui, M. et al. A hybrid heuristic algorithm for urban distribution with simultaneous pickup-delivery and time window. J Heuristics 29, 269–311 (2023). https://doi.org/10.1007/s10732-023-09510-1

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  • DOI: https://doi.org/10.1007/s10732-023-09510-1

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