About
The work contained on this website has been developed by collaborative group of researchers from the departments of Industrial and Systems Engineering and Computer Science and Engineering at the University at Buffalo, as well as from RWTH Aachen University in Germany.
ICIP was first introduced in a companion paper titled "An Image-based Approach to Detecting Structural Similarity Among Mixed Integer Programs." This paper also provides a discussion on the insights garnered from ICIP, as well as the broader impacts on how operations researchers may view similarity between MIPs. These insights are demonstrated through a series of case studies on a subset of the results housed on this page. While this paper is under review, a draft has been made available on SSRN.
Credits
The projects listed on this website examine instances from both MIPLIB 2017 and strIPlib. The maintainers of these repositories periodically make changes to the collections, so be sure to visit their sites directly for up-to-date information on all instances.
How to Cite
The companion paper is currently under review. Until it is published, you may cite this work as:
@Misc{icip2020,
title = {{Image-based Comparison of Integer Programs (ICIP)}},
author = {Z. Steever and C. Murray and J. Yuan and M. Karwan and M. Lübbecke},
note = {https://icip.optimatorlab.org},
year = {2020}
}
