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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
Link to Google Scholar
, of which a preprint pdf is available.

News (add)

2016/7/26 : Added Industrial robot problem
2016/7/24 : Added CSTR problem
2016/6/30 : Added Electric Car problem
2016/5/5: Added multiple control problems with AMPL with TACO implementation
2016/2/23: Added Actuator Placement control problem and Elliptic, Parabolic and Hyperbolic categories

Problem characterization (add)

Direct links to Problems (add)

1D wave - Actuator Placement - Bioreactor - Batch reactor - Calcium - Calcium 2 - Car testdrive - Cushioned Oscillation - Diels-Alder OED - Double Tank - Electric Car - F-8 aircraft - Fuller's problem - Gravity Turn - Heating - Industrial robot - Lotka - Lotka OED - Oscillator - Pyrolysis - Rocket - Source Inversion - Subway - Supermarket - Truck

Help (contact)

How to contribute - How to cite - LaTeX - Guidelines

Community (add)

Contributors - External Links - Feel encouraged to participate!

References

[Sager2012b]S. Sager (2012): A benchmark library of mixed-integer optimal control problems. Springer, Mixed Integer Nonlinear ProgrammingLink to Google Scholar