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
— As part of Le Havre Seine Métropole’s energy master plan, Artelys has worked with metropolitan services to set up a web platform for monitoring territorial energy data.
— CasADi is an open-source tool for general numerical optimization with a strong focus on optimal control and its versions 3.6.2 and higher are now compatible with Artelys Knitro 13.2.
Artelys participation to studies assessing potential contribution of African H2 to EU decarbonization objectives
— As part of the Clean Hydrogen Partnership funding programme, Artelys will participate in the JUST-GREEN AFRH2ICA project along with ten other African and European partners ready to share their know-how on hydrogen economics and technologies.
Artelys demonstrated how to perform cost-benefit analysis of new transmission assets in a smart grid during a webinar hosted by the Linux Foundation Energy and the Global Power System Transformation Consortium showing the strength of the prominent open-source grid computation tool PowSyBl-Metrix.
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