This release does not only provide performance and robustness improvements but major refinements in Artelys Knitro’s core algorithms:
- Up to 60% performance improvement on customer benchmark for very large-scale general nonlinear instances (more than 100 000 variables) solved with Knitro interior point algorithms.
- Average performance improvement of 50% on medium sized general nonlinear instances (between 1000 and 10 000 variables). This enhancement derives from the refinement of Knitro Sequential Quadratic Programming (SQP) algorithm which proves particularly useful for customers solving problems with expensive function evaluations (e.g. complex nonlinear expressions, external simulator, black-box model, etc.).
- Up to 75% performance improvement on very large-scale unconstrained models (more than 250 000 variables) such as machine learning applications. This significant enhancement derives from the refinement of Knitro quasi-Newton methods (namely the dense and limited-memory Quasi-Newton BFGS).
In addition, Artelys Knitro 12.2 brings:
- Default parallelism when using the multi-start, multi-algorithm, or tuner features.
- Average performance improvement of 14% on general MINLP instances.
- Support for ARM processors! Artelys Knitro can now be used on embedded systems. Contact us for more information.
- Significant speedup can be observed on some Optimal Power Flow (OPF) instances using a new presolve option.
- An updated C++ interface offering efficiency improvements, particularly when solving models with quadratic structures (e.g. QPs and QCQPs).
- Increased performance on problems with complementarity constraints (i.e. MPECs) when using quasi-Newton methods.
- Faster resolution of non-smooth unconstrained models (such as machine learning applications) relying on the new weak Wolfe linesearch.
— Watch the video presenting the Artelys Crystal Energy Planner software, entirely dedicated to the operational scheduling of energy systems.
— Join Artelys and FICO on 18 May 2021 to learn more about ways to unleash the full potential of mathematical optimization.
— In association with IED Group and IDDRI, Artelys has started the development of an energy modeling solution for the Ministry of Economy and Finance (MEF) of the Kingdom of Cambodia. Financed by the Agence Française de Développement (AFD), this project will enable MEF to benefit from a state-of-the-art tool to analyze different potential pathways describing the evolution of the energy sector of Cambodia, so as to support their strategic decision-making processes.
— ENTSO-E organizes on 16 March 2021 a public workshop aiming at presenting the Replacement Reserve processes and at providing a detailed overview of the market-clearing optimization algorithm implemented by Artelys for the TERRE platform.
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