The NEOS Server offers FilMINT for the solution of
mixed integer nonlinearly constrained optimization problems in
FilMINT is based on the LP/NLP algorithm by Quesada and Grossmann implemented in
a branch-and-cut framework. It combines the MINTO branch-and-cut framework for MILP
with filterSQP, an active set solver, used to solve the nonlinear programs that
arise as subproblems in the algorithm. Through MINTO, we are able to exploit a range
of modern MILP features, such as enhanced branching and node selection rules, primal
heuristics, preprocessing, and cut generation routines.
FilMINT was developed by Kumar Abhishek,
Sven Leyffer, and
Using the NEOS Server for FilMINT
The user must submit a model in
format to solve a mixed integer nonlinearly constrained optimization problem.
Examples of models in AMPL format can be found in the
The model is specified by a model file, and optionally,
a data file and a commands file.
If the command file is specified it must contain
the AMPL solve command.
The commands file can contain any AMPL command
options for FilMINT .
Printing directed to standard out is returned
to the user with the output.
Enter the location of the ampl model (local file)
Enter the location of the ampl data file (local file)
Enter the location of the ampl commands file (local file)
Dry run: generate job XML instead of submitting it to NEOS
Short Priority: submit to higher priority queue with maximum CPU time of 5
Please do not click the 'Submit to NEOS' button more than once.