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As, in contrast to say linear programming, there are no standard formats for the formulation of such problems, and they often show completely different characteristics, these pages dedicate some space for a thorough description of problem and solutions. | As, in contrast to say linear programming, there are no standard formats for the formulation of such problems, and they often show completely different characteristics, these pages dedicate some space for a thorough description of problem and solutions. | ||
− | A more detailed description of the underlying concepts of this library can be found in the article <bib id=" | + | A more detailed description of the underlying concepts of this library can be found in the article <bib id="Sager2012b" /> |
Sager, S., 'A benchmark library of mixed-integer optimal control problems', | Sager, S., 'A benchmark library of mixed-integer optimal control problems', |
Revision as of 12:57, 8 January 2016
This wiki contains a benchmark library of mixed-integer optimal control problems. The main intention is to provide algorithm developers with a set of challenging problems to evaluate their numerical optimization methods. An important focus is given on reproducibility of optimal solutions. As, in contrast to say linear programming, there are no standard formats for the formulation of such problems, and they often show completely different characteristics, these pages dedicate some space for a thorough description of problem and solutions.
A more detailed description of the underlying concepts of this library can be found in the article [Sager2012b]Author: S. Sager
Booktitle: Mixed Integer Nonlinear Programming
Editor: J. Lee and S. Leyffer
Pages: 631--670
Publisher: Springer
Title: A benchmark library of mixed-integer optimal control problems
Url: http://mathopt.de/PUBLICATIONS/Sager2012b.pdf
Year: 2012
Sager, S., 'A benchmark library of mixed-integer optimal control problems', Mixed Integer Nonlinear Programming, Eds. J. Lee and S. Leyffer, 2012, pp. 631-670.
A preprint pdf is available.
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