MIPLIB

A mixed integer (linear) program (mip) is an optimization problem in which a linear objective function is minimized subject to linear constraints over real- and integervalued variables. For details on mixed integer programming, see, e.g., [69,106]. The miplib is a diverse collection of challenging real-world mip instances from various academic and industrial applications suited for benchmarking and testing of mip solution algorithms.


References in zbMATH (referenced in 221 articles , 1 standard article )

Showing results 1 to 20 of 221.
Sorted by year (citations)

1 2 3 ... 10 11 12 next

  1. Andrea Callia D’Iddio, Michael Huth: Manyopt: An Extensible Tool for Mixed, Non-Linear Optimization Through SMT Solving (2017) arXiv
  2. Gleixner, Ambros M.; Berthold, Timo; Müller, Benjamin; Weltge, Stefan: Three enhancements for optimization-based bound tightening (2017)
  3. Belotti, Pietro; Bonami, Pierre; Fischetti, Matteo; Lodi, Andrea; Monaci, Michele; Nogales-Gómez, Amaya; Salvagnin, Domenico: On handling indicator constraints in mixed integer programming (2016)
  4. Berthold, Timo; Farmer, James; Heinz, Stefan; Perregaard, Michael: Parallelization of the FICO Xpress-Optimizer (2016)
  5. Fischetti, Matteo; Lodi, Andrea; Monaci, Michele; Salvagnin, Domenico; Tramontani, Andrea: Improving branch-and-cut performance by random sampling (2016)
  6. Friberg, Henrik A.: CBLIB 2014: a benchmark library for conic mixed-integer and continuous optimization (2016)
  7. Kevin K. H. Cheung, Ambros Gleixner, Daniel E. Steffy: Verifying Integer Programming Results (2016) arXiv
  8. Ku, Wen-Yang; Beck, J.Christopher: Mixed integer programming models for job shop scheduling: A computational analysis (2016)
  9. Lalla-Ruiz, Eduardo; Voß, Stefan: Modeling the parallel machine scheduling problem with step deteriorating jobs (2016)
  10. Liberto, Giovanni Di; Kadioglu, Serdar; Leo, Kevin; Malitsky, Yuri: DASH: dynamic approach for switching heuristics (2016)
  11. Rebennack, Steffen: Computing tight bounds via piecewise linear functions through the example of circle cutting problems (2016)
  12. Salvagnin, Domenico: Detecting semantic groups in MIP models (2016)
  13. Santos, Haroldo G.; Toffolo, Túlio A.M.; Gomes, Rafael A.M.; Ribas, Sabir: Integer programming techniques for the nurse rostering problem (2016)
  14. Yuh, Junsang; Lee, Youngho: Surrogate-RLT cuts for zero-one integer programs (2016)
  15. Baena, Daniel; Castro, Jordi; González, José A.: Fix-and-relax approaches for controlled tabular adjustment (2015)
  16. Bergner, Martin; Caprara, Alberto; Ceselli, Alberto; Furini, Fabio; Lübbecke, Marco E.; Malaguti, Enrico; Traversi, Emiliano: Automatic Dantzig-Wolfe reformulation of mixed integer programs (2015)
  17. Berthold, Timo; Hendel, Gregor: Shift-and-propagate (2015)
  18. Bonami, Pierre; Lodi, Andrea; Tramontani, Andrea; Wiese, Sven: On mathematical programming with indicator constraints (2015)
  19. Bonami, Pierre; Margot, François: Cut generation through binarization (2015)
  20. Brito, Samuel Souza; Santos, Haroldo Gambini; Poggi, Marcus: A computational study of conflict graphs and aggressive cut separation in integer programming (2015)

1 2 3 ... 10 11 12 next


Further publications can be found at: http://miplib.zib.de/biblio.html