New presolve operations for integer variables and additional Mixed integer Rounding cuts are now available. These new cuts are automatically derived from nonlinear constraints. This feature significantly increases the number of problem classes for which cuts can be generated.
Those new cuts have been tested on a subset of instances derived from CMU-IBM library. As illustrated above, the additional cuts derived from nonlinear constraints (only these cuts are presented in the chart) significantly reduce the root node integrality gap.
This version also includes a completely updated MATLAB interface integrating dedicated solve functions for many optimization problems. These dedicated functions exploit as much as possible the problem structure, leading to significant performance improvements, especially for LP/QP/QCQP problems.
Additional features of Artelys Knitro 12.1:
- The Python interface now supports the SciPy format to solve NLP instances.
- Improved performance on MPEC problems thanks to new presolve operations.
- Exporting of linear and quadratic instances in MPS file format is now available.
- General performance on large-scale NLP and SOCP instances.
— Artelys is working with the Paris City Council on the development of data-centric solutions. These projects aim at making the most of the data available to the Parisian community in order to improve the quality of public policies.
— We are pleased to announce that Artelys Knitro 12.4, the new version of the leading nonlinear optimization solver, is now available! Check out how its improvements on performance and interface versatility can help you leverage mathematical optimization when tackling your problems.
— Within the INSULAE project, Artelys develops a tool for the strategic planning of the energy transition of European Union islands.
— Watch the video presenting the Artelys Crystal Energy Planner software, entirely dedicated to the operational scheduling of energy systems.
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