A two-phase hybrid algorithm for the periodic rural postman problem with irregular services on mixed graphs

•We focus on the periodic rural postman problem with irregular services.•We propose an algorithm that combines heuristics and mathematical programming.•Multi-start heuristics are used to construct initial solutions.•Some parts of these solutions are recombined through a model-based approach.•The res...

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Bibliographic Details
Published inEuropean journal of operational research Vol. 307; no. 1; pp. 64 - 81
Main Authors Benavent, Enrique, Corberán, Ángel, Laganà, Demetrio, Vocaturo, Francesca
Format Journal Article
LanguageEnglish
Published Elsevier B.V 16.05.2023
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ISSN0377-2217
1872-6860
DOI10.1016/j.ejor.2022.09.026

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Summary:•We focus on the periodic rural postman problem with irregular services.•We propose an algorithm that combines heuristics and mathematical programming.•Multi-start heuristics are used to construct initial solutions.•Some parts of these solutions are recombined through a model-based approach.•The results of an extensive computational study are presented. In this article we address the periodic rural postman problem with irregular services (PRPP–IS), where some arcs and/or edges of a mixed graph must be traversed (to be serviced) a certain number of times in some subsets of days of a given time horizon. The goal is to define a set of minimum cost tours, one for each day or period of the time horizon, that satisfy the service requirements. For this problem we propose a two-phase algorithm that combines heuristics and mathematical programming. In the first phase, two different procedures are used to construct feasible solutions: a multi-start heuristic based on feasibility pump and a multi-start constructive heuristic. From these solutions, some fragments (parts of tours associated with the different days) are extracted. The second phase determines a solution for the PRPP–IS by combining the fragments by means of a mathematical model. We show the effectiveness of this solution approach through an extensive experimental phase on different sets of instances.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2022.09.026