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Filtered variable Neighborhood search method for the P-Next center problem

Abstract : The p-center problem has been the subject of interest in the operational research for a long time. It has been well-known since the middle of the previous century. During the last decade, an extension of the problem, known as the p-next center problem, has been defined in order to handle unexpected incidents that can disable the centers. There are only a few papers and algorithms that address the aforementioned problem and therefore we introduce a new algorithm for solving the p-next center problem based on the Variable Neighborhood Search Method. The proposed algorithm was tested on a set of test instances already known in the literature, and the results show that it returns an optimal or at least near-optimal solution to the problem in a reasonable amount of time. Compared to existing algorithms, it has been shown that the proposed algorithm finds the best known or better solutions.
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https://hal-uphf.archives-ouvertes.fr/hal-03528328
Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Monday, January 17, 2022 - 11:08:15 AM
Last modification on : Friday, April 1, 2022 - 3:56:58 AM

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Dalibor Ristić, Nenad Mladenovic, Raca Todosijević, Dragan Urošević. Filtered variable Neighborhood search method for the P-Next center problem. INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING, 2021, 11 (2), pp.294-309. ⟨10.7708/ijtte.2021.11(2).09⟩. ⟨hal-03528328⟩

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