The NEOS Server offers SCIP for the solution of mixed-integer linear
and nonlinear programming problems including second-order cone problems in
SCIP is a framework for Constraint Integer Programming oriented towards the
needs of Mathematical Programming experts who want to have total control of the
solution process and access detailed information. SCIP can also be used as pure
MIP solver or as framework for branch-cut-and-price.
SCIP can be linked with a number of LP solvers and the NLP solver IPOPT. See this
benchmark for the relative performance of SCIP and a shared-memory parallel version FiberSCIP.
Source and documentation are available from the
This solver was implemented by
Hans Mittelmann and executes at
If non-standard SCIP parameter settings are required, the user may also submit changes from this default
parameter file. Only the line(s) in which a parameter is changed from default
should be submitted such as limits/solutions = 1 if SCIP should stop when
the first feasible solution has been found.
When submitting via e-mail or XML-RPC delete empty tokens!
The administrator of SCIP reserves the right to keep and use problem
instances submitted through NEOS for testing and debugging purposes.
The user must submit a model in AMPL
format. Examples are provided in
section of the AMPL website.
The problem must be specified in a model file. A data file and commands
files may also be provided. If the commands file is specified, it must
contain the AMPL solve command; however, it must not contain
the model or data commands. The model and data
files are renamed internally by NEOS.
The commands file may include option settings for the solver. To specify
solver options, add
option scip_options 'OPTIONS';