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 536 articles , 4 standard articles )

Showing results 21 to 40 of 536.
Sorted by year (citations)

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  1. Berthold, Timo; Witzig, Jakob: Conflict analysis for MINLP (2021)
  2. Bestehorn, Felix; Hansknecht, Christoph; Kirches, Christian; Manns, Paul: Mixed-integer optimal control problems with switching costs: a shortest path approach (2021)
  3. Blanco, V.; Japón, A.; Ponce, D.; Puerto, J.: On the multisource hyperplanes location problem to fitting set of points (2021)
  4. Cameron, Thomas R.; Charmot, Sebastian; Pulaj, Jonad: On the linear ordering problem and the rankability of data (2021)
  5. Casazza, Marco; Ceselli, Alberto: Optimization algorithms for resilient path selection in networks (2021)
  6. Casazza, Marco; Ceselli, Alberto; Wolfler Calvo, Roberto: A route decomposition approach for the single commodity split pickup and split delivery vehicle routing problem (2021)
  7. Çelik, Türkü Özlüm; Jamneshan, Asgar; Montúfar, Guido; Sturmfels, Bernd; Venturello, Lorenzo: Wasserstein distance to independence models (2021)
  8. Ceselli, Alberto; Felipe, Ángel; Ortuño, M. Teresa; Righini, Giovanni; Tirado, Gregorio: A branch-and-cut-and-price algorithm for the electric vehicle routing problem with multiple technologies (2021)
  9. Chen, Liang; Chen, Wei-Kun; Yang, Mu-Ming; Dai, Yu-Hong: An exact separation algorithm for unsplittable flow capacitated network design arc-set polyhedron (2021)
  10. Coniglio, Stefano; Sirvent, Mathias; Weibelzahl, Martin: Airport capacity extension, fleet investment, and optimal aircraft scheduling in a multilevel market model: quantifying the costs of imperfect markets (2021)
  11. Devriendt, Jo; Gleixner, Ambros; Nordström, Jakob: Learn to relax: integrating (0-1) integer linear programming with pseudo-Boolean conflict-driven search (2021)
  12. Dias, Gustavo; Liberti, Leo: Exploiting symmetries in mathematical programming via orbital independence (2021)
  13. Eifler, Leon; Gleixner, Ambros: A computational status update for exact rational mixed integer programming (2021)
  14. Elloumi, Sourour; Lambert, Amélie; Lazare, Arnaud: Solving unconstrained 0-1 polynomial programs through quadratic convex reformulation (2021)
  15. Fitzpatrick, James; Ajwani, Deepak; Carroll, Paula: Learning to sparsify travelling salesman problem instances (2021)
  16. Flórez-Gutiérrez, Antonio; Leurent, Gaëtan; Naya-Plasencia, María; Perrin, Léo; Schrottenloher, André; Sibleyras, Ferdinand: Internal symmetries and linear properties: full-permutation distinguishers and improved collisions on \textsfGimli (2021)
  17. Gabriel, Steven A.; Leal, Marina; Schmidt, Martin: Solving binary-constrained mixed complementarity problems using continuous reformulations (2021)
  18. Gleixner, Ambros; Hendel, Gregor; Gamrath, Gerald; Achterberg, Tobias; Bastubbe, Michael; Berthold, Timo; Christophel, Philipp; Jarck, Kati; Koch, Thorsten; Linderoth, Jeff; Lübbecke, Marco; Mittelmann, Hans D.; Ozyurt, Derya; Ralphs, Ted K.; Salvagnin, Domenico; Shinano, Yuji: MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library (2021)
  19. Hojny, Christopher; Joormann, Imke; Lüthen, Hendrik; Schmidt, Martin: Mixed-integer programming techniques for the connected max-(k)-cut problem (2021)
  20. Kannan, Rohit; Luedtke, James R.: A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs (2021)

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