SCIP

SCIP is currently one of the fastest non-commercial solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). It is also a framework for constraint integer programming and branch-cut-and-price. It allows for total control of the solution process and the access of detailed information down to the guts of the solver. SCIP is part of the SCIP Optimization Suite, which also contains the LP solver SoPlex, the modelling language ZIMPL, the parallelization framework UG and the generic column generation solver GCG.

This software is also peer reviewed by journal MPC.


References in zbMATH (referenced in 312 articles , 4 standard articles )

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  1. Costa, Lilia; Smith, James Q.; Nichols, Thomas: A group analysis using the multiregression dynamic models for fMRI networked time series (2019)
  2. Altherr, Lena C.; Dörig, Bastian; Ederer, Thorsten; Pelz, Peter F.; Pfetsch, Marc E.; Wolf, Jan: A mixed-integer nonlinear program for the design of gearboxes (2018)
  3. Berthold, Timo: A computational study of primal heuristics inside an MI(NL)P solver (2018)
  4. Berthold, Timo; Farmer, James; Heinz, Stefan; Perregaard, Michael: Parallelization of the FICO Xpress-Optimizer (2018)
  5. Berthold, Timo; Hendel, Gregor; Koch, Thorsten: From feasibility to improvement to proof: three phases of solving mixed-integer programs (2018)
  6. Bus, Norbert; Mustafa, Nabil H.; Ray, Saurabh: Practical and efficient algorithms for the geometric hitting set problem (2018)
  7. Carli, Raffaele; Dotoli, Mariagrazia; Pellegrino, Roberta: A decision-making tool for energy efficiency optimization of street lighting (2018)
  8. Chen, Wei-Kun; Chen, Liang; Yang, Mu-Ming; Dai, Yu-Hong: Generalized coefficient strengthening cuts for mixed integer programming (2018)
  9. Cozad, Alison; Sahinidis, Nikolaos V.: A global MINLP approach to symbolic regression (2018)
  10. Delorme, Maxence; Iori, Manuel; Martello, Silvano: BPPLIB: a library for bin packing and cutting stock problems (2018)
  11. Dey, Santanu S.; Molinaro, Marco: Theoretical challenges towards cutting-plane selection (2018)
  12. Farham, Mohammad Saleh; Süral, Haldun; Iyigun, Cem: A column generation approach for the location-routing problem with time windows (2018)
  13. Fischer, Tobias; Pfetsch, Marc E.: Branch-and-cut for linear programs with overlapping SOS1 constraints (2018)
  14. Fischetti, Matteo; Monaci, Michele; Salvagnin, Domenico: SelfSplit parallelization for mixed-integer linear programming (2018)
  15. Gally, Tristan; Pfetsch, Marc E.; Ulbrich, Stefan: A framework for solving mixed-integer semidefinite programs (2018)
  16. Gurski, Frank; Rethmann, Jochen: Distributed solving of mixed-integer programs with GLPK and Thrift (2018)
  17. Hiller, Benjamin; Koch, Thorsten; Schewe, Lars; Schwarz, Robert; Schweiger, Jonas: A system to evaluate gas network capacities: concepts and implementation (2018)
  18. Kılınç, Mustafa R.; Sahinidis, Nikolaos V.: Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with BARON (2018)
  19. Kimura, Keiji; Waki, Hayato: Minimization of Akaike’s information criterion in linear regression analysis via mixed integer nonlinear program (2018)
  20. Lancia, Giuseppe; Serafini, Paolo: Compact extended linear programming models (2018)

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Further publications can be found at: http://scip.zib.de/#work