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Zhang, Guangquan Lu, Jie Montero De Juan, Francisco Javier Zeng, Yi 2023-06-20T00:14:38Z 2023-06-20T00:14:38Z 2010 Zhang, G., Lu, J., Montero, J., Zeng, Y.: Model, solution concept, and Kth-best algorithm for linear trilevel programming. Information Sciences. 180, 481-492 (2010). https://doi.org/10.1016/j.ins.2009.10.013 0020-0255 10.1016/j.ins.2009.10.013 https://hdl.handle.net/20.500.14352/42260 https//doi.org/10.1016/j.ins.2009.10.013 http://www.sciencedirect.com/science/article/pii/S0020025509004496 Trilevel programming refers to hierarchical optimization problems in which the top-level, middle-level, and bottom-level decision entities all attempt to optimize their individual objectives, but are impacted by the actions and partial control exercised by decision entities located at other levels. To solve this complex problem, in this study first we propose the use of a general linear trilevel programming (LTLP) subsequently, we develop a trilevel Kth-best algorithm to solve LTLP problems. A user-friendly trilevel decision support tool is also developed. A case study further illustrates the effectiveness of the proposed method. eng open access Model, solution concept, and Kth-best algorithm for linear trilevel programming journal article