Tabu search: an application to the minimum dominating set problem

J. Manuel Colmenar (), Manuel Laguna () and Raúl Martín-Santamaría ()
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J. Manuel Colmenar: Universidad Rey Juan Carlos
Manuel Laguna: University of Colorado Boulder
Raúl Martín-Santamaría: Universidad Rey Juan Carlos

TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 2025, vol. 33, issue 2, No 5, 304-326

Abstract: Abstract Tabu Search is a metaheuristic renowned for its ability to navigate complex solution spaces by iteratively exploring neighborhoods and intelligently diversifying the search process to avoid getting trapped in local optima. We describe the main elements of the tabu search methodology in the context of finding high-quality solutions to the minimum dominating set problem (MDSP). The MDSP is a fundamental combinatorial optimization challenge with applications in various fields, including network design, social network analysis, and bioinformatics.

Keywords: Tabu search methodology; Dominating set problem; Metaheuristic optimization; 90C59; 68T20; 90C27 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11750-025-00697-z

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