SBB

SBB is a solver for mixed integer nonlinear programming models developed by M. Bussieck of GAMS and A. Drud of ARKI Consulting & Development.  It combines the branch and bound method known from mixed integer linear programming and some of the standard NLP solvers already supported by GAMS.  Currently, SBB can use

CONOPT

CONOPT2

MINOS

PATHNLP

SNOPT

as solvers for sub-models.  SBB supports binary, integer, semicont, semiint, SOS1 and SOS2 variables.  SBB employs a branch and bound algorithmic approach.  SBB will solve MINLP model types.