Artelys Knitro 12.3 solves nonlinear models with millions of constraints!
The latest release of Artelys Knitro provides performance improvements on all types of optimization models (from linear and quadratic to general nonlinear models) allowing our customers to solve even larger problems with millions of constraints.
These problems are notably observed in several fields such as portfolio optimization in finance, trajectory optimization for robots or autonomous vehicles, economics or optimal power flow in energy.
This enhancement derives from two major developments:
An average performance improvement of 20% for large scale nonlinear models while using the default Interior/Direct algorithm. This improvement builds on the updates provided with Artelys Knitro 12.2 which refined internal linear systems for large scale models. These features have further been enhanced in this release, with a focus on numerical stability. An average memory saving of 40% on all types of convex models when using the Interior/Direct algorithm.
Additional features of Artelys Knitro 12.3:
Updated R, Java and C# interfaces. High speedups can be expected on all models with linear and quadratic structures as they are now processed through a dedicated API. New C and Python single call functions to solve LP, QP and QCQP problems similar to functions already available for our Matlab users. Memory savings up to 50% when using the least squares interface. New diving heuristics to complement the feasibility pump heuristic for Mixed Integer Nonlinear Problems (MINLP). General improvement on nonlinear models when using the BFGS Hessian approximation.
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.
Artelys compared the compensation mechanisms available for hydropower across global electricity markets in collaboration with CEATI
— Artelys is proud to have issued a new report published by CEATI, providing a comprehensive benchmark of compensation mechanisms available to hydropower assets across electricity markets in North America, Europe, and beyond.
Artelys Crystal HPC: Our integrated, sovereign High-Performance Computing (HPC) managed platform for industries
— Organizations that run complex simulations, large-scale optimizations, or sensitive calculations face a threefold challenge: securing the computing power to match their ambitions, ensuring data sovereignty, and avoiding weeks of setup time before seeing initial results.
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