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%.
MARI platform delivers record social welfare gains in its 2025 balancing operations
The Electricity Balancing Guideline (EBGL), in force since 2017, sets out the framework for a European balancing market allowing TSOs to net their balancing needs and to procure balancing energy from providers located both within their own area and across borders. This cooperation mechanism increases the overall security of supply while lowering system-wide balancing costs.
Artelys: Our solutions for maximising the value of hydropower assets
Hydropower plays a strategic role in the energy transition thanks to its unique ability to provide flexibility, storage, and dispatchability to the electricity system. However, managing hydropower systems is becoming increasingly complex: hydrological uncertainty linked to climate change, market volatility, evolving grid needs, and aging assets all call for a rethink of decision-making methods.
Supporting Lithuania’s Energy Security: National Resource Adequacy & Flexibility Needs Assessment for Litgrid
— Artelys is proud to have delivered a National Resource Adequacy Assessment (NRAA) for Litgrid, following the ENTSO-E ERAA methodology, alongside a Flexibility Needs Assessment (FNA) based on the framework set out by ACER.
Artelys Knitro 16.0: Model Nonlinear Problems Natively, Solve Them Concurrently
Artelys is pleased to announce the release of Knitro 16.0, a major version introducing two flagship features — a native Nonlinear Modeler and a Concurrent Solver — alongside significant performance and robustness improvements for nonlinear, mixed-integer and linear optimization problems.
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