Artelys Kalis 13: Boost the resolution of your allocation and scheduling problems!
This new version of Artelys Kalis returns first feasible solutions of allocation instances that are of better quality, in a lower amount of time. As an example, on Berth assignment problems, for which an operator allocates berth space for vessels in container terminals, the average time to find a first feasible solution has drastically decreased. Also, the quality of the initial solution, i.e. the time required to perform all port activities in our example, is better than in previous versions. This enhancement derives from a solver internal reformulation facilitating the modeling of allocation problems for the user!
The average performance improvement reaches 25% on a set of customer scheduling problems. This enhancement derives from a refactoring of the Timetable algorithm (computing the constraint propagation for available resources and scheduled tasks) in the solution tree search. The solver is more efficient and computes up to 30% more nodes within a given time limit. The optimal scheduling is found faster.
Other Artelys Kalis 13 features:
Improved Python interface to facilitate nonlinear constraint manipulation. Increased performances on nonlinear problems thanks to a more efficient standard function propagation. General improvements on memory usage in particular for “implies constraints” with gains of up to 50%.
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.
Driving Renewable Energy Integration: Advanced Solutions to increase the existing power grid’s renewable hosting capacity
Artelys proposes a methodology based on Artificial Intelligence to evaluate the increase of hosting capacity of variable Renewable Energy Sources (vRES) in electrical networks thanks to Grid Enhancing Technologies (GETs). .
Artelys Participates in the European HyNet Project to Optimize Hybrid AC/DC Power Grids
As part of the Horizon Europe program, Artelys is participating in the HyNet project. This initiative aims to study and optimize the operation of hybrid AC/DC power grids in the context of the rapid growth of power electronics-based technologies and the widespread deployment of distributed energy resources.
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