Artelys Knitro 12.1: automatically derive cuts from nonlinear constraints!
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: Our solutions for maximising the value of hydropower assets
Hydropower plays a strategic role in the energy transition thanks to its unique ability to provide flexibility, storage, and dispatchability to the electricity system. However, managing hydropower systems is becoming increasingly complex: hydrological uncertainty linked to climate change, market volatility, evolving grid needs, and aging assets all call for a rethink of decision-making methods.
Supporting Lithuania’s Energy Security: National Resource Adequacy & Flexibility Needs Assessment for Litgrid
— Artelys is proud to have delivered a National Resource Adequacy Assessment (NRAA) for Litgrid, following the ENTSO-E ERAA methodology, alongside a Flexibility Needs Assessment (FNA) based on the framework set out by ACER.
Artelys Knitro 16.0: Model Nonlinear Problems Natively, Solve Them Concurrently
Artelys is pleased to announce the release of Knitro 16.0, a major version introducing two flagship features — a native Nonlinear Modeler and a Concurrent Solver — alongside significant performance and robustness improvements for nonlinear, mixed-integer and linear optimization problems.
First Successful Auction for the New French Capacity Mechanism!
— The first auction of the new French Capacity Mechanism was successfully held on Monday, 6 July 2026. Artelys is proud to provide the market clearing algorithm used to select the accepted capacity offers.
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