Optimality Conditions and Geometric Properties of a Linear Multilevel Programming Problem with Dominated Objective Functions

G. Z. Ruan, S. Y. Wang, Y. Yamamoto and S. S. Zhu
Additional contact information
G. Z. Ruan: Xiangtan University
S. Y. Wang: Chinese Academy of Sciences
Y. Yamamoto: University of Tsukuba
S. S. Zhu: Chinese Academy of Sciences

Journal of Optimization Theory and Applications, 2004, vol. 123, issue 2, No 10, 409-429

Abstract: Abstract In this paper, a model of a linear multilevel programming problem with dominated objective functions (LMPPD(l)) is proposed, where multiple reactions of the lower levels do not lead to any uncertainty in the upper-level decision making. Under the assumption that the constrained set is nonempty and bounded, a necessary optimality condition is obtained. Two types of geometric properties of the solution sets are studied. It is demonstrated that the feasible set of LMPPD(l) is neither necessarily composed of faces of the constrained set nor necessarily connected. These properties are different from the existing theoretical results for linear multilevel programming problems.

Keywords: Bilevel programming; multilevel programming; upper semicontinuity; connectedness (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10957-004-5156-y

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