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Luque-Gallego, Mariano López-Agudo, Luis Alejandro Marcenaro-Gutiérrez, Óscar David 2025-07-16T11:50:06Z 2025-07-16T11:50:06Z 2014-10-25 Luque, M., López‐Agudo, L. A., Marcenaro‐Gutiérrez, O. D. (2015). “Equivalent reference points in Multiobjective Programming”. Expert Systems with Applications, 42(4), 2205‐2212 https://hdl.handle.net/10630/39372 10.1016/j.eswa.2014.10.028 In this paper, we concentrate on reference point based methods in multiobjective programming to demonstrate, as main contribution, that the solution to a multiobjective optimization problem stays unchanged if the reference point is changed to any point on a set defined by means of the original reference point, the nondominated objective solution and some parameters of the ASF. Concretely, this new set of ‘‘equivalent reference points’’ is the convex linear combination of two straight lines, one containing the original reference point and the other a nondominated objective solution, where the slope of both straight lines is given by the inverses of the weights of the ASF. An illustrative example is used to show the results obtained and an empirical model (application with real data) allows us to highlight possible implications. eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Programación matemática Economía matemática Equivalent reference points in multiobjective programming journal article