CBLIB - The Conic Benchmark Library.


This website hosts a collection of benchmark problems for conic mixed-integer and continuous optimization. The Conic Benchmark Library (CBLIB) was initiated in 2012 by Erling D. Andersen and Henrik A. Friberg from MOSEK ApS, and has been hosted ever since at the Department of Optimization at Zuse Institute Berlin. The goal of CBLIB is to encourage algorithmic research, support software improvements regarding reliability and performance, and ultimately become a standard test set for comparative studies, very much in the spirit of the Netlib LP and MIPLIB collections.

How to obtain the library.

The CBLIB 2014 library was constructed with a primary focus on real and realistic optimization problems with second-order cones. It contains 121 instances out of which 80 are mixed-integer and can be used a as standard reference for benchmarking. See this paper for details:

Since this publication, however, many instances have been contributed to CBLIB.

Downloads:

Call for instances: Please consider contributing. If you have interesting industrial or academic instances, or if you can point us to publicly available, not yet included instances, please contact us. We are happy to help with the process of making instances anonymous if necessary and converting them to suitable formats.

File format.

A new CBF format proposal is in public hearing. You are invited to send us your feedback.

The CBF format (see its technical reference manual) has been developed to simplify benchmarking over many different—and often incompatible—solvers. For this reason it has been used throughout CBLIB, and we embrace software that makes use of it:

Contact.

For questions, hints, and contributions, please contact Henrik A. Friberg or Ambros Gleixner.

News.


See tweets by @cblibtw.

Our free and open license policy.

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