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A parallel improved ant colony optimization for multi-depot vehicle routing problem

Author

Listed:
  • B Yu

    (Transportation Management College, Dalian Maritime University)

  • Z-Z Yang

    (Transportation Management College, Dalian Maritime University)

  • J-X Xie

    (College of Mechanical and Electronic Engineering, Hebei Agricultural University)

Abstract

This paper presents a method for solving multi-depot vehicle routing problem (MDVRP). First, a virtual central depot is added to transfer MDVRP to the multi-depot vehicle routing problem with the virtual central depot (V-MDVRP), which is similar to a vehicle routing problem (VRP) with the virtual central depot as the origin. An improved ant colony optimization with coarse-grain parallel strategy, ant-weight strategy and mutation operation, is presented for the V-MDVRP. The computational results for 23 benchmark problems are reported and compared to those of other ant colony optimizations.

Suggested Citation

  • B Yu & Z-Z Yang & J-X Xie, 2011. "A parallel improved ant colony optimization for multi-depot vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 183-188, January.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:1:d:10.1057_jors.2009.161
    DOI: 10.1057/jors.2009.161
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    References listed on IDEAS

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    1. Albritton, M. David & McMullen, Patrick R., 2007. "Optimal product design using a colony of virtual ants," European Journal of Operational Research, Elsevier, vol. 176(1), pages 498-520, January.
    2. Gillett, Billy E & Johnson, Jerry G, 1976. "Multi-terminal vehicle-dispatch algorithm," Omega, Elsevier, vol. 4(6), pages 711-718.
    3. Crevier, Benoit & Cordeau, Jean-Francois & Laporte, Gilbert, 2007. "The multi-depot vehicle routing problem with inter-depot routes," European Journal of Operational Research, Elsevier, vol. 176(2), pages 756-773, January.
    4. Yu, Bin & Yang, Zhong-Zhen & Yao, Baozhen, 2009. "An improved ant colony optimization for vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 196(1), pages 171-176, July.
    5. Frank A. Tillman & Thomas M. Cain, 1972. "An Upperbound Algorithm for the Single and Multiple Terminal Delivery Problem," Management Science, INFORMS, vol. 18(11), pages 664-682, July.
    6. Raft, Ole M., 1982. "A modular algorithm for an extended vehicle scheduling problem," European Journal of Operational Research, Elsevier, vol. 11(1), pages 67-76, September.
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    Cited by:

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    3. Yiwei Fan & Gang Wang & Xiaoling Lu & Gaobin Wang, 2019. "Distributed forecasting and ant colony optimization for the bike-sharing rebalancing problem with unserved demands," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-26, December.
    4. Zong, Fang & Yu, Ping & Tang, Jinjun & Sun, Xiao, 2019. "Understanding parking decisions with structural equation modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 408-417.
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    7. Wang, Yuan & Lei, Linfei & Zhang, Dongxiang & Lee, Loo Hay, 2020. "Towards delivery-as-a-service: Effective neighborhood search strategies for integrated delivery optimization of E-commerce and static O2O parcels," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 38-63.
    8. Themistoklis Stamadianos & Andromachi Taxidou & Magdalene Marinaki & Yannis Marinakis, 2024. "Swarm intelligence and nature inspired algorithms for solving vehicle routing problems: a survey," Operational Research, Springer, vol. 24(3), pages 1-45, September.
    9. José M. Ferrer & M. Teresa Ortuño & Gregorio Tirado, 2020. "A New Ant Colony-Based Methodology for Disaster Relief," Mathematics, MDPI, vol. 8(4), pages 1-23, April.
    10. Junlong Zhang & William Lam & Bi Chen, 2013. "A Stochastic Vehicle Routing Problem with Travel Time Uncertainty: Trade-Off Between Cost and Customer Service," Networks and Spatial Economics, Springer, vol. 13(4), pages 471-496, December.
    11. Schryen, Guido, 2020. "Parallel computational optimization in operations research: A new integrative framework, literature review and research directions," European Journal of Operational Research, Elsevier, vol. 287(1), pages 1-18.
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    13. Weiheng Zhang & Yuvraj Gajpal & Srimantoorao. S. Appadoo & Qi Wei, 2020. "Multi-Depot Green Vehicle Routing Problem to Minimize Carbon Emissions," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
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