A matheuristic for the Distance-Constrained Close-Enough Arc Routing Problem
Ángel Corberán,
Isaac Plana,
Miguel Reula () and
José M. Sanchis
Additional contact information
Ángel Corberán: Universitat de València
Isaac Plana: Universitat de València
Miguel Reula: Universitat de València
José M. Sanchis: Universidad Politécnica de Valencia
TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 2019, vol. 27, issue 2, No 11, 312-326
Abstract:
Abstract The Close-Enough Arc Routing Problem, also called Generalized Directed Rural Postman Problem, is an arc routing problem with interesting real-life applications, such as routing for meter reading. In this application, a vehicle with a receiver travels through a series of neighborhoods. If the vehicle gets within a certain distance of a meter, the receiver is able to record the gas, water, or electricity consumption. Therefore, the vehicle does not need to traverse every street, but only a few, in order to be close enough to each meter. In this paper we deal with an extension of this problem, the Distance-Constrained Generalized Directed Rural Postman Problem or Distance-Constrained Close Enough Arc Routing Problem, in which a fleet of vehicles is available. The vehicles have to leave from and return to a common vertex, the depot, and the length of their routes must not exceed a maximum distance (or time). For solving this problem we propose a matheuristic that incorporates an effective exact procedure to optimize the routes obtained. Extensive computational experiments have been performed on a set of benchmark instances and the results are compared with those obtained with an exact procedure proposed in the literature.
Keywords: Close-Enough Arc Routing Problem; Generalized directed Rural Postman Problem; Distance constraints; Matheuristic; multi-start (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:topjnl:v:27:y:2019:i:2:d:10.1007_s11750-019-00507-3
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DOI: 10.1007/s11750-019-00507-3
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