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
— We are pleased to announce that Artelys Knitro 13.1 is now available! Check out its improvements, especially on mixed-integer nonlinear problems (MINLP).
Artelys becomes a partner of the Grand Est Region thanks to its expertise in artificial intelligence!
— Artelys has been referenced by the Grand Est Region to assess the artificial intelligence maturity of companies in the region.
— Artelys was thrilled to organize the METIS 2 Dissemination webinar on May 31. In the course of this event, we had the opportunity to present the latest developments of the EU energy system model METIS and to discuss the future of EU energy system models with representatives from TSOs and industry.
— Artelys, in cooperation with Trinomics, prepared a study evaluating flexibility options to support decarbonisation for the Energy Community.
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