Artelys Knitro 13.1: solving MINLP faster than ever!
Mixed-integer nonlinear problems offer a very natural way to model many engineering problems where nonlinear functions can capture the complex behavior of physical processes and integer variables can be used to model discrete decisions.
Artelys Knitro 13.0 introduced a new parallel branch and bound to solve our customers’ most complex MINLP. Artelys Knitro 13.1 pushes it further by adding several key features:
- New heuristics to quickly find good feasible solutions.
- Possibility for the user to pass an initial integer solution. This solution can even be repaired automatically if infeasible.
- Introduced an automatic restart functionality for higher performances. This allows a MINLP solve to reset the tree search back to the root node after a partial search and restart with an optimized set of solver parameters and cutoff values.
- Significant performance improvements across all discrete and continuous algorithms.
Relying on these new features dedicated to MINLPs, Artelys Knitro 13.1 is 3 times faster on average than version 13.0 on the MINLP benchmarks such as MINLPLib2.
Artelys Knitro 13.1 also introduces a new noise estimation routine for nonlinear objective functions to adapt the derivatives approximation. This is particularly useful when solving black-box optimization problems and relying on an external simulator (network model, finite element methods, chemical reaction, etc.) in which numerical inaccuracies can lead to noisy black-box optimization models.
Additional features of Artelys Knitro 13.1:
- 40% performance improvement on Apple Silicon thanks to the integration of new specialized mathematical subroutines.
- Updated Knitro-MATLAB interface to support the new MATLAB “problem-based” interface.
- New heuristic for solving models with complementarity constraints (MPEC) when using the barrier/interior-point algorithm.
- General performance improvements on nonlinear continuous models in particular when using BFGS or L-BFGS Hessian approximation.
If you want to know more about Artelys Knitro, you can contact us or visit the dedicated web page.
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.
subscribe to our newsletters
© ARTELYS • All rights reserved • Legal mentions