ANTIGONE (Algorithms for coNTinuous / Integer
Global Optimization of Nonlinear
Equations) is a deterministic general mixed-integer nonlinear
global optimization framework. Deterministic global optimization of
mixed-integer nonlinear programs (MINLP) is broadly applicable in
diverse domains ranging from molecular biology to refinery operations
to computational chemistry to synthesizing sustainable processes.
ANTIGONE was developed by Christodoulos A. Floudas and Ruth Misener. References
can be found on the publications
page of the ANTIGONE
website. Documentation is available via the GAMS/ANTIGONE
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, the
GAMS Documentation includes a
GAMS Tutorial and
Examples of models in GAMS format can be found in the
GAMS model library.
By default, the NEOS Server 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 GAMS output
for further information.
You may optionally submit an options file if you wish to override the
default parameter settings for the solver. 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.
<modelname>.optfile = 1 ;
optfile = 1