Abstract
There are several hard combinatorial optimization problems that, in the context of communication networks, must be solved in short computing times since they are solving real-time critical tasks. This work is focused on the monitor placement problem, whose objective is to locate specific devices, called monitors, in certain nodes of a network with the aim of performing a complete network surveillance. As a consequence of the constant evolution of networks, the problem must be solved in real time if possible. If a solution cannot be found in the allowed computing time, then a penalty is assumed for each link of the network which remains uncovered. A Variable Neighborhood Search algorithm is proposed for solving this problem, comparing it with a hybrid evolutionary algorithm over a set of instances derived from real-life networks to evaluate its efficiency and efficacy.
A. Casado, J. Sánchez-Oro and A. Duarte research was funded by “Ministerio de Ciencia, Innovación y Universidades” under grant ref. PID2021-125709OA-C22, “Comunidad de Madrid” and “Fondos Estructurales” of European Union with grant refs. S2018/TCS-4566, Y2018/EMT-5062. N. Mladenović has been partially supported by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan, Grant No. AP08856034.
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Casado, A., Mladenović, N., Sánchez-Oro, J., Duarte, A. (2023). A Metaheuristic Approach for Solving Monitor Placement Problem. In: Sleptchenko, A., Sifaleras, A., Hansen, P. (eds) Variable Neighborhood Search. ICVNS 2022. Lecture Notes in Computer Science, vol 13863. Springer, Cham. https://doi.org/10.1007/978-3-031-34500-5_1
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