2019-10-282019-10-282013López de los Mozos Martín, M.C., Puerto Albandoz, J. y Rodríguez Chía, A.M. (2013). Robust mean absolute deviation problems on networks with linear vertex weights. Networks: an International Journal, 61 (1), 76-85.0028-3045https://hdl.handle.net/11441/89931This article deals with incorporating the mean absolute deviation objective function in several robust single facility location models on networks with dynamic evolution of node weights, which are modeled by means of linear functions of a parameter. Specifically, we have considered two robustness criteria applied to the mean absolute deviation problem: the MinMax criterion, and the MinMax regret criterion. For solving the corresponding optimization problems, exact algorithms have been proposed and their complexities have been also analyzed.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/LocationNetworksRobust optimizationEquality measuresinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.1002/net.2147120218607