Parallel PIPS-SBB: multi-level parallelism for stochastic mixed-integer programs

Author:

Munguía Lluís-MiquelORCID,Oxberry Geoffrey,Rajan Deepak,Shinano Yuji

Funder

Lawrence Livermore National Laboratory

Bundesministerium für Bildung und Forschung

Bundesministerium für Wirtschaft und Technologie

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Control and Optimization

Reference43 articles.

1. Achterberg, T., Bixby, R.E., Gu, Z., Rothberg, E., Weninger, D.: Presolve reductions in mixed integer programming. Technical report, Technical report 16-44, ZIB, Takustr. 7, 14195 Berlin (2016)

2. Achterberg, T., Koch, T., Martin, A.: Branching rules revisited. Oper. Res. Lett. 33(1), 42–54 (2005)

3. Ahmed, S., Garcia, R., Kong, N., Ntaimo, L., Parija, G., Qiu, F., Sen, S.: SIPLIB: a stochastic integer programming test problem library (2018). https://www2.isye.gatech.edu/~sahmed/siplib

4. Bergner, M., Caprara, A., Ceselli, A., Furini, F., Lübbecke, M.E., Malaguti, E., Traversi, E.: Automatic Dantzig–Wolfe reformulation of mixed integer programs. Math. Program. 149(1–2), 391–424 (2015)

5. Berthold, T.: Primal Heuristics for Mixed Integer Programs. Master’s thesis, TU Berlin (2006)

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