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MINLP Solvers

There are several MINLP solvers available, both free codes from research institutions and commercial codes from various vendors. The solvers differ in the methods they use, in whether they find globally optimal solution with proven optimality, and in the size of models they can handle, and in the format of models they accept.
A recent survey of MINLP solver software has been given in this paper.

In the following, we list most available MIQCP and general MINLP solvers (known to us). A "∗" indicates, that the solver is available within GAMS.

MIQCP Solvers:
CPLEX IBM
FICO XPRESS FICO
GloMIQO R. Misener and C. A. Floudas, Princeton University
MOSEK MOSEK ApS
MINLP Solvers:
AlphaECP T. Westerlund, Åbo Akademi University, Finland
  AIMMS Outer-Approximation Paragon Decision Technology
BARON N. Sahinidis, Carnegie Mellon University; M. Tawarmalani, Purdue University
Bonmin P. Bonami, Marseille University
Couenne P. Belotti, Clemson University
DICOPT I.E. Grossmann, Carnegie Mellon University
  FICO XPRESS-SLP FICO
  FilMINT S. Leyffer, Argonne National Lab.; J.T. Linderoth, Lehigh University
KNITRO Ziena Optimization, Inc.
LindoAPI LINDO Systems, Inc.
  MIDACO M. Schlüter, Birmingham University
  MILANO H.Y. Benson, Drexel University
  MINLP_BB R. Fletcher, Dundee University; S. Leyffer, Argonne National Lab.
  MISQP K. Schittkowski, Bayreuth University
OQNLP OptTek Systems, Inc.; Optimal Methods, Inc.
SBB ARKI Consulting and Development A/S
SCIP Zuse Institute Berlin