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

In this paper, a model of a linear multilevel programming problem with dominated objective functions (LMPPD(/)) 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 b...

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Veröffentlicht in:Journal of optimization theory and applications Jg. 123; H. 2; S. 409 - 429
Hauptverfasser: Ruan, G. Z., Wang, S. Y., Yamamoto, Y., Zhu, S. S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY Springer 01.11.2004
Springer Nature B.V
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ISSN:0022-3239, 1573-2878
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Abstract In this paper, a model of a linear multilevel programming problem with dominated objective functions (LMPPD(/)) 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(/) 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.
AbstractList In this paper, a model of a linear multilevel programming problem with dominated objective functions (LMPPD(/)) 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(/) 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.
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. [PUBLICATION 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.
Author Zhu, S. S.
Wang, S. Y.
Ruan, G. Z.
Yamamoto, Y.
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  givenname: Y.
  surname: Yamamoto
  fullname: Yamamoto, Y.
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  givenname: S. S.
  surname: Zhu
  fullname: Zhu, S. S.
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Issue 2
Keywords multilevel programming
Decision support system
Decision making
Optimality condition
Bilevel programming
Linear programming
Optimality criterion
connectedness
Objective function
upper semicontinuity
Semi continuous function
Semicontinuous
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Snippet In this paper, a model of a linear multilevel programming problem with dominated objective functions (LMPPD(l)) is proposed, where multiple reactions of the...
In this paper, a model of a linear multilevel programming problem with dominated objective functions (LMPPD(/)) is proposed, where multiple reactions of the...
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SubjectTerms Applied sciences
Decision making
Exact sciences and technology
Game theory
Investigations
Linear programming
Mathematical programming
Mathematics
Operational research and scientific management
Operational research. Management science
Optimization
Studies
Systems science
Variables
Title Optimality Conditions and Geometric Properties of a Linear Multilevel Programming Problem with Dominated Objective Functions
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Volume 123
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