RT Journal Article
T1 Model, solution concept, and Kth-best algorithm for linear trilevel programming
A1 Zhang, Guangquan
A1 Lu, Jie
A1 Montero De Juan, Francisco Javier
A1 Zeng, Yi
AB 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.
PB Elsevier Science Inc
SN 0020-0255
YR 2010
FD 2010
LK https://hdl.handle.net/20.500.14352/42260
UL https://hdl.handle.net/20.500.14352/42260
LA eng
NO 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
NO Australian Research Council
NO Gobierno de España
DS Docta Complutense
RD 17 abr 2025