Main new features
This new version makes it easier to solve job-shop problems (JSP). Artelys Kalis improves the modeling and resolution of optimization problems in IT and operations research where jobs have to be scheduled and assigned to resources .
On the modelling side, the user is now able to define a set-up time between two tasks requiring the same resource. For example, it is now easy to model a scheduling problem where the maintenance tasks are to be performed in different places meaning the skilled technicians required for these tasks must travel between these places.
On the resolution side, the Timetable algorithm, used for the propagation of the resource constraints for the tasks, has been vastly improved, notably for the alternative resources. As a result, the performance of Artelys Kalis has vastly improved. For example, in the case of a scheduling problem with up to 250 alternative resources as a function of the number of tasks planned, the computation time reduces as shown below:
Other new features of Artelys Kalis 12.8:
Support of Python 3 Cross-platform random numbers generation
For more information, do not hesitate to contact us.
— 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
— Artelys will present the solution Artelys Crystal Energy Planner adopted by Brookfield Renewable during the 11th Hydropower Conference of the Centre for Energy Advancement through Technological Innovation (CEATI) on March 3-4 2020, in Palm Springs, California.read more
Artelys would like to congratulate the teams that ranked in the top ten of Challenge 1 of the ARPA-E Grid Optimization competition. We would especially like to applaud the NU_Columbia_Artelys team composed of Richard Waltz, Daniel Bienstock and Jorge Nocedal for placing seventh overall and qualifying for the maximum prize money of $400,000.read more
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