Abstract
In this paper, we consider a class of 0–1 programs which, although innocent looking, is a challenge for existing solution methods. Solving even small instances from this class is extremely difficult for conventional branch-and-bound or branch-and-cut algorithms. We also experimented with basis reduction algorithms and with dynamic pro- gramming without much success. The paper then examines the perfor- mance of two other methods: a group relaxation for 0,1 programs, and a sorting-based procedure following an idea of Wolsey. Although the re- sults with these two methods are somewhat better than with the other four when it comes to checking feasibility, we offer this class of small 0,1 programs as a challenge to the research community. As of yet, instances from this class with as few as seven constraints and sixty 0–1 variables are unsolved.
This work was supported in part by NSF grant DMI-9424348.
Part of the work was done while this author was affiliated with Carnegie Mellon University.
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Cornuéjols, G., Dawande, M. (1998). A Class of Hard Small 0—1 Programs. In: Bixby, R.E., Boyd, E.A., Ríos-Mercado, R.Z. (eds) Integer Programming and Combinatorial Optimization. IPCO 1998. Lecture Notes in Computer Science, vol 1412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69346-7_22
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DOI: https://doi.org/10.1007/3-540-69346-7_22
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