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
Artelys will participate in European Utility Week, from the 12th to 14th of November 2019, in Paris. This event is one of the biggest smart utility fairs in the world, with meetings, sessions and conferences dedicated to the energy business.read more
Artelys will participate in the INFORMS Annual Meeting in Seattle (USA) on October 20th – 23rd, 2019. Meet our optimization experts, discover our latest products and projects, and even challenge yourself with our nonlinear optimization quiz!read more
— Artelys Knitro efficiently solves black-box optimization problems to win the 2019 BBComp edition! This accomplishment highlights Artelys Knitro excellent performance and robustness in the field of Derivative-Free Optimization (DFO).read more
— Powernext successfully held the first auction of Guarantees of Origin (GO) for the French State on September, 18th. The auction platform uses a market clearing algorithm designed by Powernext and Artelys and implemented by Artelys for the selection of offers.read more
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