This update comes with a refined Python interface improving the user friendliness and flexibility for constraint declaration. In addition, the user now has the possibility to define custom branching schemes through the Python interface.
A new constraint also enters our catalog: a table constraint which allows to define the list of tuples allowed for the given variables. This constraint offers high flexibility and performance to deal with problems where the list of allowed tuples is way inferior to the total admissible tuples (for example traffic lights, bin-packing problems or industrial complex systems configuration).
Optimizing jobshop problems with Artelys Kalis
Other features of Artelys Kalis 12.6.3
• New online documentation including C++/Python/Java examples
• New Jupyter notebooks presenting the Python interface on jobshop problems
• Enhancement of the method to retrieve the minimal conflict set
• General performance improvement of the Generic Arc-Consistency algorithms
— The European Commission has published the METIS models and datasets developed by Artelys and its partners, enabling everyone to use them to conduct highly detailed analyses of the European energy system.read more
— We are pleased to announce the release of Artelys Knitro 12.2 which comes with outstanding performance improvements, in particular for general nonlinear problems.read more
— Artelys has enhanced TenneT’s power flow simulator to include power market simulations.read more
— Artelys has just delivered the Artelys Crystal City software to the European Metropolis of Lille which allows for a detailed monitoring of the evolution of the energy system of the territory, in order to better steer energy and climate policies.read more
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