Artelys Knitro 12.4 further improves the interface versatility
This release does not only come with performance improvements, in particular for general nonlinear problems, but also with improvements of the interface:
- Improvement on NLP:
- New dynamic scaling of the limited-memory Quasi-Newton BFGS, more robust and efficient for all algorithms. This leads to an average performance improvement of 20% on general nonlinear instances when using this Hessian approximation.
- New Knitro API functions:
- Allow deleting or changing linear or constant structures of a problem and then re-solving.
- Allow to retrieve information about the feasibility of the variables and constraints after both the presolve and solving process, giving a detailed analysis of the complex infeasibilities in nonlinear problems.
- Allow users to provide their own customized linear algebra solver, which is useful when the problem has a very specific structure and can be solved with highly specialized routines. This feature was recently applied with success to an industrial problem and enabled a 2x overall speedup.
In addition, Artelys Knitro 12.4 brings:
- Improvement on MINLP:
- Improved heuristics strategies
- Early integer-feasible solution found on 15% more instances
- Newly supported platforms:
- Support for the new Apple M1 chip
Artelys provides support to the French energy regulatory authority (CRE) in assessing the adequate incentive levels to foster distribution networks performance for TURPE 7
Artelys has conducted a quantitative assessment to inform target levels proposals for TURPE 7, examining past performance and the impact of integrating smart meter data (Linky) into indicators measuring the quality of energy supply.
The MARI project is growing
In recent months, several new European TSOs have successfully joined MARI, the pan-European mFRR activation platform whose market clearing engine was developed by Artelys.
Knitro 14.2 solve your toughest nonlinear non-convex models in seconds
— 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.
Artelys Powers the Launch of CorNet’s Common Grid Model (CGM) Service
Artelys has been selected to develop computation engine modules for the Common European Merging Function (EMF) used in the core of the CorNet program’s RCC Service Platform, enabling pan-European operational power grid coordination and security analysis.
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