Artelys Knitro 13.2: increased robustness for MINLP
Mixed-integer nonlinear programs 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. Several examples can be found in our extensive library of Artelys Knitro use-case, including MINLP formulations covering applications such as dimensioning EV charging infrastructures, efficient fault detection and isolation (FDI) on complex systems and many more!
Artelys Knitro 13.2 is more robust and consistently converging in shorter time to optimality on MINLP thanks to several developments:
- Presolve refinements including bound tightening and detection of redundant constraints
- Improved cut generation and selection strategy
- New automatic strategies for cut selection
- Improved multi-start heuristics for non-convex mixed-integer problems
In particular, Artelys Knitro 13.2 solves 12 additional instances on the MINLPLib benchmark compared to Artelys Knitro 13.1. In addition, this new version converges to a global optimum on 9% additional non-convex instances from MINLPLib2.
If you want to know more about Artelys Knitro, you can contact us or visit the dedicated web page.
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.
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