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ABSTRACT
This paper describes a technique for generating sparse or dense quadratic bilevel programming problems with a selectable number of known global and local solutions. The technique described here does not require the solution of any subproblems. In addition, since most techniques for solving these problems begin by solving the corresponding relaxed quadratic program, the global solutions are constructed to be different than the global solution of this relaxed problem in a selectable number of upper- and lower-level variables. Finally, the problems that are generated satisfy the requirements imposed by all of the solution techniques known to the authors.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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REVIEW
"Timothy R. Hopkins : Reviewer"
A source of valid test problems is an invaluable asset in testing
the efficiency and scope of both existing and new algorithms. While test
suites are available for a number of other areas of optimization, this
work is the first attempt to addr
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