Ávila, T.; Corberán, A.; Plana, I.; Sanchís Llopis, JM. (2016). A branch-and-cut algorithm for the Profitable Windy Rural Postman Problem. European Journal of Operational Research. 249(3):1092-1101. https://doi.org/10.1016/j.ejor.2015.10.016
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/139158
Title:
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A branch-and-cut algorithm for the Profitable Windy Rural Postman Problem
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Author:
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Ávila, T.
Corberán, A.
Plana, I.
Sanchís Llopis, José María
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UPV Unit:
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Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
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Issued date:
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Abstract:
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[EN] In this paper we study the profitable windy rural postman problem. This is an arc routing problem with profits defined on a windy graph in which there is a profit associated with some of the edges of the graph, ...[+]
[EN] In this paper we study the profitable windy rural postman problem. This is an arc routing problem with profits defined on a windy graph in which there is a profit associated with some of the edges of the graph, consisting of finding a route maximizing the difference between the total profit collected and the total cost. This problem generalizes the rural postman problem and other well-known arc routing problems and has real-life applications, mainly in snow removal operations. We propose here a formulation for the problem and study its associated polyhedron. Several families of facet-inducing inequalities are described and used in the design of a branch-and-cut procedure. The algorithm has been tested on a large set of benchmark instances and compared with other existing algorithms. The results obtained show that the branch-and-cut algorithm is able to solve large-sized instances optimally in reasonable computing times.
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Subjects:
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Windy rural postman problem
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Arc routing
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Profits
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Branch-and-cut algorithm
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Polyhedron
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Copyrigths:
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Cerrado |
Source:
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European Journal of Operational Research. (issn:
0377-2217
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DOI:
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10.1016/j.ejor.2015.10.016
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Publisher:
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Elsevier
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Publisher version:
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https://doi.org/10.1016/j.ejor.2015.10.016
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Project ID:
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info:eu-repo/grantAgreement/MINECO//MTM2012-36163-C06-02/ES/MODELOS Y METODOS DE PROGRAMACION MATEMATICA Y SUS APLICACIONES (OPTIMOS3)/
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2013%2F049/ES/Modelos y algoritmos para problemas de optimización combinatoria/
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Thanks:
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Authors thank Elisa Schaeffer for providing us with the instances and solutions of sets of instances Set1-Set4 and two anonymous referees for their comments and suggestions that have helped to improve the paper. Authors ...[+]
Authors thank Elisa Schaeffer for providing us with the instances and solutions of sets of instances Set1-Set4 and two anonymous referees for their comments and suggestions that have helped to improve the paper. Authors also wish to thank the Ministerio de Economia y Competitividad of Spain (MTM2012-36163-C06-02) and the Generalitat Valenciana (Project GVPROMETEO2013-049) for its support.
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Type:
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Artículo
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