Come and meet Artelys optimization experts at INFORMS on April 15-17
INFORMS is a yearly gathering of 1,000 analytics professionals and industry experts coming from diverse industries such as energy, supply chain, healthcare, finance, communication, etc.
During this event, Artelys will be showcasing its consulting services, optimization solvers as well as the Artelys Crystal solutions. Highly qualified scientists will be sharing their expertise on how to apply optimization solutions to improve your decision process.
Artelys will hold three presentations:
• Sunday April 15th, 3 pm – Workshop: “Artelys Knitro, the leading nonlinear optimization solver: Nonlinear optimization in a nutshell with Artelys Knitro”
• Monday April 16th, 10:30 am – Tutorial: “Artelys Knitro: Introducing the new API and Conic solver in Artelys Knitro 11.0″
• Monday April 16th, 1:50 pm – Tutorial: “Artelys Crystal Energy Planner: A Software for Hydro Power Generation Assets Optimization”
Still afraid of not being able to meet our experts? Contact us to book a time slot with them! Richard Waltz, the lead developer of Artelys Knitro, still have few time slots available.
Artelys is recruiting!
— Join Artelys for your graduate internship!
GEODIP, a tool for the representation of energy poverty in France, is now available online!
— 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.
2022 training sessions
— Do you want to train in 2022 to be more innovative in your company, to become more efficient or simply to open up to other horizons?
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.
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