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 336 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. Baltean-Lugojan, Radu; Misener, Ruth: Piecewise parametric structure in the pooling problem: from sparse strongly-polynomial solutions to NP-hardness (2018)
  4. Berthold, Timo: A computational study of primal heuristics inside an MI(NL)P solver (2018)
  5. Berthold, Timo; Farmer, James; Heinz, Stefan; Perregaard, Michael: Parallelization of the FICO Xpress-Optimizer (2018)
  6. Berthold, Timo; Hendel, Gregor; Koch, Thorsten: From feasibility to improvement to proof: three phases of solving mixed-integer programs (2018)
  7. Bus, Norbert; Mustafa, Nabil H.; Ray, Saurabh: Practical and efficient algorithms for the geometric hitting set problem (2018)
  8. Carli, Raffaele; Dotoli, Mariagrazia; Pellegrino, Roberta: A decision-making tool for energy efficiency optimization of street lighting (2018)
  9. Chen, Wei-Kun; Chen, Liang; Yang, Mu-Ming; Dai, Yu-Hong: Generalized coefficient strengthening cuts for mixed integer programming (2018)
  10. Cozad, Alison; Sahinidis, Nikolaos V.: A global MINLP approach to symbolic regression (2018)
  11. Delorme, Maxence; Iori, Manuel; Martello, Silvano: BPPLIB: a library for bin packing and cutting stock problems (2018)
  12. Del Pia, Alberto; Khajavirad, Aida: On decomposability of multilinear sets (2018)
  13. Dey, Santanu S.; Molinaro, Marco: Theoretical challenges towards cutting-plane selection (2018)
  14. Farham, Mohammad Saleh; Süral, Haldun; Iyigun, Cem: A column generation approach for the location-routing problem with time windows (2018)
  15. Fischer, Tobias; Pfetsch, Marc E.: Branch-and-cut for linear programs with overlapping SOS1 constraints (2018)
  16. Fischetti, Matteo; Ljubić, Ivana; Monaci, Michele; Sinnl, Markus: On the use of intersection cuts for bilevel optimization (2018)
  17. Fischetti, Matteo; Monaci, Michele; Salvagnin, Domenico: SelfSplit parallelization for mixed-integer linear programming (2018)
  18. Gally, Tristan; Pfetsch, Marc E.; Ulbrich, Stefan: A framework for solving mixed-integer semidefinite programs (2018)
  19. Gamrath, Gerald; Schubert, Christoph: Measuring the impact of branching rules for mixed-integer programming (2018)
  20. Gomes, Ricardo J.; Guerreiro, Andreia P.; Kuhn, Tobias; Paquete, Luís: Implicit enumeration strategies for the hypervolume subset selection problem (2018)

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