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Exact penalty functions for convex bilevel programming problems

  • G. S. Liu
  • , J. Y. Han
  • , J. Z. Zhang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this paper, we propose a new constraint qualification for convex bilevel programming problems. Under this constraint qualification, a locally and globally exact penalty function of order 1 for a single-level reformulation of convex bilevel programming problems is given without requiring the linear independence condition and the strict complementarity condition to hold in the lower-level problem. Based on these results, locally and globally exact penalty functions for two other single-level reformulations of convex bilevel programming problems can be obtained. Furthermore, sufficient conditions for partial calmness to hold in some single-level reformulations of convex bilevel programming problems can be given.
© 2001 Plenum Publishing Corporation
Original languageEnglish
Pages (from-to)621-643
JournalJournal of Optimization Theory and Applications
Volume110
Issue number3
DOIs
Publication statusPublished - 1 Sept 2001
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

1This research was partially supported by the City University of Hong Kong under Strategic Research Grant 7000866 and the National Natural Science Foundation of China under Grant 19901002.

Research Keywords

  • Bilevel programming problems
  • Constraint qualifications
  • Exact penalty functions
  • Partial calmness
  • Reformulations

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