Description

Instances for the minmax selection problem under budgeted uncertainty set could be found on this page. Here, we use n, p and Г when referring to the number of items, number of items one wants to choose and budget to control the amount of uncertainty, respectively. Furthermore, cost of each item must be chosen from a given interval; thus, we use the n-vectors c and d to show the lower bound and the deviation of the correspondence interval.

Method description: will be updated soon.

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Instance Format

Instances for the minmax selection problem under budgeted uncertainty set could be found on this page. Here, we use n, p and Г when referring to the number of items, number of items one wants to choose and budget to control the amount of uncertainty, respectively. Furthermore, cost of each item must be chosen from a given interval; thus, we use the n-vectors c and d to show the lower bound and the deviation of the correspondence interval.

Method description: will be updated soon.

Output

Generator

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Reference

The information on this page has been created based on the paper “Benchmarking Problems for Robust Discrete Optimization” by Dr. Marc Goerigk (Network and Data Science Management, University of Siegen, Germany) and Mohammad Khosravi (Network and Data Science Management, University of Siegen, Germany).