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The Capacitated m -Ring-Star Problem

Author

Listed:
  • R. Baldacci

    (Dipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, 47023 Cesena, Italy)

  • M. Dell'Amico

    (Dipartimento di Scienze e Metodi dell'Ingegneria, University of Modena and Reggio Emilia, 42100 Reggio Emilia, Italy)

  • J. Salazar González

    (Departamento de Estadistica, Investigacíon Operativa y Computacíon, Facultad de Matemáticas, Universidad de La Laguna, 38271 La Laguna, Tenerife, Spain)

Abstract

The Capacitated m -Ring-Star Problem (C m RSP) is the problem of designing a set of rings that pass through a central depot and through some transition points and/or customers, and then assigning each nonvisited customer to a visited point or customer. The number of customers visited and assigned to a ring is bounded by an upper limit: the capacity of the ring. The objective is to minimize the total routing cost plus assignment costs. The problem has practical applications in the design of urban optical telecommunication networks. This paper presents and discusses two integer programming formulations for the C m RSP. Valid inequalities are proposed to strengthen the linear programming relaxation and are used as cutting planes in a branch-and-cut approach. The procedure is implemented and tested on a large family of instances, including real-world instances, and the good performance of the proposed approach is demonstrated.

Suggested Citation

  • R. Baldacci & M. Dell'Amico & J. Salazar González, 2007. "The Capacitated m -Ring-Star Problem," Operations Research, INFORMS, vol. 55(6), pages 1147-1162, December.
  • Handle: RePEc:inm:oropre:v:55:y:2007:i:6:p:1147-1162
    DOI: 10.1287/opre.1070.0432
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    References listed on IDEAS

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    3. Baldacci, Roberto & Hill, Alessandro & Hoshino, Edna A. & Lim, Andrew, 2017. "Pricing strategies for capacitated ring-star problems based on dynamic programming algorithms," European Journal of Operational Research, Elsevier, vol. 262(3), pages 879-893.
    4. Glock, Katharina & Meyer, Anne, 2023. "Spatial coverage in routing and path planning problems," European Journal of Operational Research, Elsevier, vol. 305(1), pages 1-20.
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    11. Zhou, Lin & Baldacci, Roberto & Vigo, Daniele & Wang, Xu, 2018. "A Multi-Depot Two-Echelon Vehicle Routing Problem with Delivery Options Arising in the Last Mile Distribution," European Journal of Operational Research, Elsevier, vol. 265(2), pages 765-778.
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    15. Xujin Chen & Xiaodong Hu & Xiaohua Jia & Zhongzheng Tang & Chenhao Wang & Ying Zhang, 0. "Algorithms for the metric ring star problem with fixed edge-cost ratio," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-25.
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