The NEOS Server offers
the solution of mixed integer nonlinearly constrained optimization problems
in GAMS format.
BARON is a computational system for solving nonconvex optimization problems
to global optimality. Purely continuous, purely integer, and mixed-integer
nonlinear problems can be solved with the software. The Branch And Reduce
Optimization Navigator derives its name from its combining constraint
propagation, interval analysis, and duality in its reduce arsenal with enhanced
branch and bound concepts as it winds its way through the hills and valleys of
complex optimization problems in search of global solutions.
BARON is being developed by Nick
Availability of BARON on the NEOS Server is possible thanks to the
generosity of The GAMS Development Corporation and the providers
of software for the solution of the LP and NLP subproblems solved by
BARON (CPLEX and MINOS are the default BARON solvers for LP and
NLP subproblems, respectively).
Using the NEOS Server for BARON
The user must submit a model in GAMS
format to solve an optimization problem. For security purposes, the model
submitted must adhere to the following conventions:
If you are unfamiliar with GAMS, there are User's Guides and a GAMS Tutorial
available on the GAMS Documentation website. Examples of models in GAMS
format can be found in the
GAMS model library and an
is also available.
- The model must be self contained, i.e. no $include or $batinclude
- No execution of external programs is allowed, i.e. no $call or execute
- No file creation, i.e. no put files or $echo
An option file can be used to specify BARON options. Currently, the NEOS
Server can only use optfile=1 with GAMS input. Therefore, any model
that specifies a different options file will not work as intended.
The NEOS Server initially limits the amount of output generated in the
listing file by turning off the symbol and unique element list, symbol
cross references, and restricting the rows and columns listed to zero.
This behavior can be changed by specifying the appropriate options
in the model file. See the
documentation on the
modeling language for further information.