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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 ^[1]

Sager, S., 'A benchmark library of mixed-integer optimal control problems', 
Proceedings MINLP09 IMA Minneapolis, (accepted) 

A preprint pdf is available.

News (add) 2011/09/29: Added the first set of AMPL optimal control problems using the TACO toolkit 2010/11/21: Added New York Subway ride control problem 2010/11/18: Extended description of problem characterization 2010/11/18: Description of benchmark library as pdf file preprint 2010/08/16: Added Bang-bang approximation of a traveling wave 1D PDE example

Problem characterization (add) via mathematical model - via optimal solution - via application area ODE model - Bang bang - Chattering - AMPL - AMPL using TACO - C code - optimica - Periodicity	Problems (add) Lotka Volterra fishing problem - F-8 aircraft - Calcium - Calcium 2 Supermarket refrigeration system - Car testdrive - Fuller's problem - 1D wave - Subway
Help (contact) How to contribute - How to cite - LaTeX - Guidelines	Community (add) Contributors - External Links Feel encouraged to participate!