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A Variable Neighborhood Descent Algorithm for the Undirected Capacitated Arc Routing Problem

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  • Alain Hertz

    (Département de Mathématiques, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland)

  • Michel Mittaz

    (Département de Mathématiques, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland)

Abstract

The undirected capacitated arc routing problem (CARP) arises naturally in several applications where streets require maintenance, or customers located along road must be serviced. Basic algorithmic procedures have recently been developed for the design of heuristics in an arc routing context. This article reports on the use of these basic tools in a variable neighborhood descent algorithm for the solution of the undirected CARP.

Suggested Citation

  • Alain Hertz & Michel Mittaz, 2001. "A Variable Neighborhood Descent Algorithm for the Undirected Capacitated Arc Routing Problem," Transportation Science, INFORMS, vol. 35(4), pages 425-434, November.
    • Handle: RePEc:inm:ortrsc:v:35:y:2001:i:4:p:425-434
    DOI: 10.1287/trsc.35.4.425.10431
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    References listed on IDEAS

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    1. Alain Hertz & Gilbert Laporte & Pierrette Nanchen Hugo, 1999. "Improvement Procedures for the Undirected Rural Postman Problem," INFORMS Journal on Computing, INFORMS, vol. 11(1), pages 53-62, February.
    2. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    3. Alain Hertz & Gilbert Laporte & Michel Mittaz, 2000. "A Tabu Search Heuristic for the Capacitated arc Routing Problem," Operations Research, INFORMS, vol. 48(1), pages 129-135, February.
    4. Christofides, Nicos, 1973. "The optimum traversal of a graph," Omega, Elsevier, vol. 1(6), pages 719-732, December.
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    Citations

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    Cited by:

    1. Jesica Armas & Peter Keenan & Angel A. Juan & Seán McGarraghy, 2019. "Solving large-scale time capacitated arc routing problems: from real-time heuristics to metaheuristics," Annals of Operations Research, Springer, vol. 273(1), pages 135-162, February.
    2. Lacomme, Philippe & Prins, Christian & Ramdane-Cherif, Wahiba, 2005. "Evolutionary algorithms for periodic arc routing problems," European Journal of Operational Research, Elsevier, vol. 165(2), pages 535-553, September.
    3. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    4. Faustino Tello & Antonio Jiménez-Martín & Alfonso Mateos & Pablo Lozano, 2019. "A Comparative Analysis of Simulated Annealing and Variable Neighborhood Search in the ATCo Work-Shift Scheduling Problem," Mathematics, MDPI, vol. 7(7), pages 1-18, July.
    5. Gilbert Laporte & Roberto Musmanno & Francesca Vocaturo, 2010. "An Adaptive Large Neighbourhood Search Heuristic for the Capacitated Arc-Routing Problem with Stochastic Demands," Transportation Science, INFORMS, vol. 44(1), pages 125-135, February.
    6. Chen, Yuning & Hao, Jin-Kao & Glover, Fred, 2016. "A hybrid metaheuristic approach for the capacitated arc routing problem," European Journal of Operational Research, Elsevier, vol. 253(1), pages 25-39.
    7. Tan, K.C. & Chew, Y.H. & Lee, L.H., 2006. "A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 172(3), pages 855-885, August.
    8. Chen, Yuning & Hao, Jin-Kao, 2018. "Two phased hybrid local search for the periodic capacitated arc routing problem," European Journal of Operational Research, Elsevier, vol. 264(1), pages 55-65.
    9. Thibaut Vidal, 2017. "Node, Edge, Arc Routing and Turn Penalties: Multiple Problems—One Neighborhood Extension," Operations Research, INFORMS, vol. 65(4), pages 992-1010, August.
    10. Jesus Gonzalez-Feliu, 2009. "The N-echelon Location routing problem: concepts and methods for tactical and operational planning," Working Papers halshs-00422492, HAL.
    11. Fung, Richard Y.K. & Liu, Ran & Jiang, Zhibin, 2013. "A memetic algorithm for the open capacitated arc routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 53-67.
    12. Porumbel, Daniel & Goncalves, Gilles & Allaoui, Hamid & Hsu, Tienté, 2017. "Iterated Local Search and Column Generation to solve Arc-Routing as a permutation set-covering problem," European Journal of Operational Research, Elsevier, vol. 256(2), pages 349-367.
    13. Zhang, Zizhen & Qin, Hu & Wang, Kai & He, Huang & Liu, Tian, 2017. "Manpower allocation and vehicle routing problem in non-emergency ambulance transfer service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 45-59.
    14. Gahm, Christian & Brabänder, Christian & Tuma, Axel, 2017. "Vehicle routing with private fleet, multiple common carriers offering volume discounts, and rental options," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 192-216.
    15. Pierre Hansen & Nenad Mladenović & José Moreno Pérez, 2010. "Variable neighbourhood search: methods and applications," Annals of Operations Research, Springer, vol. 175(1), pages 367-407, March.
    16. Michael Drexl, 2012. "Synchronization in Vehicle Routing---A Survey of VRPs with Multiple Synchronization Constraints," Transportation Science, INFORMS, vol. 46(3), pages 297-316, August.
    17. Li, Jiliu & Qin, Hu & Shen, Huaxiao & Tsui, Kwok Leung, 2019. "The unilateral transportation problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 1-29.

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