Artelys Knitro 10.3: support for Python 3 and improved performance!
From a numerical perspective, large speedups are to be seen on some classes of ill-conditioned models. This is due to new preconditioning techniques applied to the subproblems solved by conjugate gradient method in the Knitro interior-point/barrier algorithms. Furthermore, Artelys Knitro 10.3 offers several improvements to the internal linear algebra and linear solvers used internally for better robustness and efficiency.
Exponential speedups on selected nonlinear least square instance
Additional features:
• Significant improvements in large-scale least-squares models, solving the instances 10 times faster!
• Improvements in the “feasibility restoration phase” used when Knitro is struggling to get feasible allowing faster detection of infeasible models.
• Overall efficiency and robustness improvements on general nonlinear models as well as significant improvements in efficiency on models with integer variables.
Innovative grid technologies can improve renewable energy integration in the Latvian grid by up to 40%
—The power grid faces challenges in managing the increasing amounts of new wind and solar power generation. Grid Enhancing Technologies (GETs) are essential for optimizing the use of the existing infrastructure. Artelys carried out a study for Latvian Transmission System Operator (TSO) AST to assess the renewable generation hosting capacity of the transmission grid and to evaluate the benefits that GETs can provide to renewable integration. The study performed simulations using the open-source optimal flow tool, PowSyBI Metrix. Results show that Grid Enhancing Technologies can increase Renewable Energy Sources (RES) hosting capacity by up to 40% and were announced in the following press release.
Artelys Knitro 14.1: delivers very quick solutions on non-convex models
— We are pleased to announce that Artelys Knitro 14.0 is now available! This new version enables compagnies to solve complex non-linear optimization problems with unprecedented efficency and precision.
You missed the METIS 3 Dissemination event? The slides are now available!
— Artelys was thrilled to organize the METIS 3 Dissemination webinar on April 17, which was a great opportunity to present key studies and upgrades of METIS models and datasets conducted in the last four years, including exciting discussions with external panelists!
Artelys participates in the demonstration of large-scale underground hydrogen storage in Europe
— Artelys is involved in the five-year project FrHyGe funded by the European Commission via the Clean Hydrogen Partnership.
subscribe to our newsletters
© ARTELYS • All rights reserved • Legal mentions
