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.
— In association with the French Energy Poverty Observatory (ONPE), Artelys has developed GEODIP, a tool including various cartographic representations of energy poverty in France. GEODIP is already available free of charge for local stakeholders.
The MIT Biomimetic Robotics Lab uses Artelys Knitro to achieve High speed landing of quadruped robots
— There are various and fascinating projects adopting Artelys Knitro. Recently, the MIT Biomimetic Robotics Lab used our nonlinear solver on quadruped robots. Artelys Knitro has been found to be the only non-linear solver capable of performing fast enough to be deployed onboard their robot for a real-time Optimal Landing Control.
— Last year, we were thrilled to announce that Artelys was amongst the top ten finalists of the ARPA-E Grid Optimization Competition – Challenge 1. Well, we would like to give another round of applause for the Artelys team that won this time the second prize of Challenge 2, earning $530k in prize money!
subscribe to our newsletters