About | Challenge Topic | Call for Benchmarks | Rules | Awards | Documentation and Support | Organizing Committee
The computational development of optimization tools is a key component within the MIP community and has proven to be a challenging task. It requires great knowledge of the well-established methods, technical implementation abilities, as well as creativity to push the boundaries with novel solutions. In 2022, the annual Mixed Integer Programming Workshop established a computational competition in order to encourage and provide recognition to the development of novel practical techniques within MIP technology. In its first edition, the computational competition focused on finding good-quality primal solutions to general Mixed-Integer Linear Optimization problems. For the 20th anniversary MIP Workshop 2023, the competition will focus on reoptimization of MIPs after slight changes to the input data.
Traditional MIP benchmarks often focus on the performance to optimize a given instance from scratch. In many practically relevant settings, however, MIP solvers are used to repeatedly solve a series of similar instances of the same type and only slight modifications of the input data. Hence, the 2023 competition topic is the development of effective techniques for reoptimization of mixed integer linear programs in this setting.
Participants must provide
- a general solver to optimize a series of related MIPs in sequential order, thereby reusing information from the previous runs in the series, and
- a written report describing their methodology and results.
For each MIP instance in the series, the approach must return a primal solution and a valid dual bound within a given time limit. The participants are free to build on any software that is available in source code and that can be used freely for the evaluation of the competition.
The evaluation will be performed on a set of instance series of 50 related instances each satisfying:
- The number of constraints and the number, order, and meaning of variables remain the same across one series of instances,
- but (some or all of) objective function, variable bounds, right-hand sides, and constraint coefficients may vary.
Each of the public instance series is taken from a specific application in the literature. In addition, the MIP community is called to submit further benchmarks from which we will select a set of hidden instance series for the final evaluation.
The intention of this competition is not to perform offline training on different types of applications, but to reuse information from current and previous solving processes in order to accelerate the solution of future instances.
Finalists will be provided travel support to present their methods at the 20th anniversary MIP Workshop 2023 held May 22-25, 2023, at the University of Southern California. High-quality submissions will be invited to an expedited review process in Mathematical Programming Computation.
To collect further instance series for future research and for the final evaluation, we call researchers and practitioners of the MIP community to submit additional benchmarks. One submission should consist of:
- 50 instances in MPS format with the same number, order, and meaning of variables and the same number of constraints.
- A brief description of the model behind the instances, the type of differences between instances, and the source/creation of instance data.
- A statement whether and with what license the instances can be made public after the final evaluation.
A rough guideline for the computational properties that are interesting for the competition: Each single instance should be
- feasible,
- solvable to a gap of 10% or less within 10 minutes using an academic MIP solver,
- solvable to zero gap (or a very small gap of 0.01%) within a few hours using any MIP solver.
Faster solution times are perfectly acceptable and not a criterion for exclusion, quite the opposite. Numerically difficult instances should be avoided.
Deadline for submission of benchmarks is January 31st, 2023.
Participants in the competition may submit benchmarks themselves. The jury will select hidden instance series carefully in order to ensure that they are suitable and different computational scenarios are represented in a balanced way. The jury will be free to not use all submissions for the evaluation of the competition.
See the detailed description here.
- October 2022: Publication of topic and rules
- November 2022: Completion of public instance series
- January 31st, 2023: Registration deadline for participation
- January 31st, 2023: Submission deadline for hidden benchmarks
- March 1st, 2023: Submission deadline for report and code
- April 5th, 2023: Notification of results
- May 22nd, 2023: Presentations of the finalists at the MIP Workshop
- The jury will select up to three finalists to present their work at the MIP workshop 2023. The final winner will be announced at the MIP Workshop 2023.
- One representative of each finalist will receive travel support to MIP and free registration.
- The performance of non-finalist submissions will not be published.
- High-quality submissions will receive an expedited review process in Mathematical Programming Computation.
- The jury may present an award to recognize outstanding student submissions. For these submissions, senior supervisors may be part of the team, but the implementation work must have been fully conducted by students. Students should not have received their first PhD degree on March 1st, 2023.
This repository contains
- the descriptions README.md and RULES.md,
- the set of public instance series in the folder datasets,
- a few naive baseline implementations in folder examples to demonstrate how a submission would look like technically.
We use GitHub's discussion feature as an open support channel. Please direct any questions primarily there. We will not provide privileged support to any of the participants, except in situations where it concerns information about their submission which they do not want to share. To contact us directly, use the competition's email address: mipcc-23@htw-berlin.de .
- Ambros Gleixner, HTW and Zuse Institute Berlin (Chair)
- Timo Berthold, FICO
- Mathieu Besançon, Zuse Institute Berlin
- Suresh Bolusani, Zuse Institute Berlin
- Claudia D'Ambrosio, CNRS & Ecole Polytechnique (LIX)
- Gonzalo Muñoz, Universidad de O'Higgins
- Joseph Paat, University of British Columbia, Sauder School of Business
- Felipe Serrano, I2DAMO