Archives for March 2015

Performance variability: consequences

If you work on difficult mixed-integer programming (MIP) models, you have experienced performance variability. This refers as the impact on performance of seemingly performance neutral changes induced in the model or the solver. Part 1 of this series presented the problem and its relevance, and part 2 provided some readings related to the topic. This […]

Performance variability: good readings

If you work on difficult mixed-integer programming (MIP) models, you have experienced performance variability. This refers as the impact on performance of seemingly performance neutral changes induced in the model or the solver. Part 1 of this series presented the problem and its relevance. This post presents some good readings related to the topic. Many thanks […]

Performance variability defined

These days, it seems that one of the most simple and effective ways to tackle difficult mixed-integer programming (MIP) models is to run the model on a state-of-the-art solver with different random seeds. It is very easy to implement and often provides better improvement than tuning the solver or using custom heuristics or solution procedures. This […]