Artelys

👀 Read how Artelys Knitro is used in the design of deployable structures in this article from ACM Transactions on Graphics. Deployable structures typically consist of rigid elements connected via rotational joints which have compact rest states and deploy into 3D target surfaces. Such structures are widely used in industrial and consumer products, medical devices, aerospace applications, and civil installations. The authors propose a new deployable material system, called umbrella mesh, that combines rigid linkage mechanisms and elastic beams to enable a wide variety of shapes. Umbrella meshes are composed of regular arrangements of parameterized cells. All cells cover the same area footprint, but the differing cell heights cause this area to expand by different amounts during deployment and result in a curved shape. The authors provide a model to simulate the deployment of such structures and present an algorithm to optimize the free design parameters to best approximate a given target shape. These results are validated with physical prototypes and show that umbrella meshes allow to obtain surface geometries that are not possible with other existing methods. The authors rely on Artelys Knitro to determine the optimal shape parameters for approximating a given target surface. The optimization problem is nonlinear, and the Artelys Knitro interior-point Conjugate gradient algorithm is exploited to rapidly converge to an optimal design. Authors: YINGYING REN (EPFL, Switzerland), Uday Kusupati (EPFL, Switzerland), JULIAN PANETTA (UC Davis, USA), Florin Isvoranu (EPFL, Switzerland), Davide Pellis (EPFL, Switzerland), TIAN CHEN (University of Houston, USA), Mark Pauly (EPFL, Switzerland). https://lnkd.in/ehgiCMG9

📅 Save the date! Meet us at our booth S1P38 at the CIGRE 2024, in Paris at the Palais des Congrès on August 26-30. Join us to discuss how to leverage Artificial Intelligence to maximize the capacity of the grid today and in the future. Schedule an appointment with us: https://lnkd.in/d8JMc-Y9 #powsybl #lfenergy #cigre #energy #energytransition

📢 Artelys est heureux d’annoncer son intégration au EDEN Cluster, écosystème de PME dans le secteur de la défense, de la sécurité et de la sureté. 💡 En rejoignant EDEN, Artelys approfondit son ancrage auprès de la DGA et des membres de la BITD. Fort de son expertise historique en IA Symbolique et recherche opérationnelle, hybridé par les techniques d’intelligence artificielle les plus récentes Artelys fera émerger des solutions nouvelles et innovantes s’appuyant sur une IA de confiance en réponse aux enjeux de demain. 👉 Découvrez en plus sur l'EDEN Cluster : https://lnkd.in/g9tDHcwt

We are excited to annouce the release of Artelys Knitro version 14.1, our solver for nonlinear optimization. 🔥   This new version provides specific improvements on quadratic models (QP) and quadratically constrained quadratic models (QCQP), both convex and non-convex.   👉 Discover all the new features in this article: https://lnkd.in/dzhXWNhg   #optimization #knitro #nonlinear

Missed the METIS 3 Dissemination event? 📊 The slides are now available! Artelys was excited to host the METIS 3 Dissemination webinar on April 17, showcasing key studies and upgrades to the METIS models and datasets from the past four years. METIS, developed for the European Commission’s DG ENER, has become a fully web-based tool with exciting upgrades regarding the competition between energy vectors, energy transport infrastructure and pathway optimisation for the impact assessment of Euorpean climate and energy targets. 🌍⚡ Check out the the slides in this news 👉 https://lnkd.in/dsEeTrN7

#ISMP2024 has officially begun, and Artelys is thrilled to sponsor this year's edition in Montreal! Connect with Carlyle Deligny and Tengxiang REN, who will attend the event. Our team will also be presenting nonlinear optimization use cases during a practical session on Thursday, July 26th: 👉 1a ThA19 - 516D - Thursday, July 26th, 8:30 AM - 10:30 AM: Practical session: Model and solve a nonlinear optimization problem with Artelys Knitro This event will allow us to discuss our projects in North America with our team based in Montreal and learn more about our products such as Artelys Knitro, our nonlinear optimization solver. #operationsresearch #Knitro #Mathematicaloptimization https://lnkd.in/ekmFxRj5

Nous sommes heureux d’annoncer notre adhésion au pôle de compétitivité i-trans, dédié aux transports, à la mobilité et à la logistique. En rejoignant i-Trans (Pôle de compétitivité) Artelys affirme son implication dans la R&D afin d’apporter à ses clients des solutions à la pointe de la technologie et de résoudre des problèmes toujours plus complexes.

Read how Artelys Knitro helps computer science researchers find optimal edge computing deployments in this article funded by the US National Science Foundation. Edge computing is becoming a complementary architecture to cloud computing. A key advantage of edge computing is that edge data centers are typically located much closer to users than traditional cloud data centers. This is especially relevant for applications with tight latency requirements, like virtual reality, autonomous vehicle or the Internet of Things. However, since edge clusters are often resource-constrained, there is a trade-off between network latency and server processing latency while deploying applications on both edge and cloud. The authors propose an approach aiming at devising hybrid cloud/edge deployment plans guarantying an end-to-end latency (i.e., mean response time) lower than that of the pure cloud deployment counterparts, at minimal cost. For a given scenario with number and location of users and data centers, the method optimizes the number of servers per data center as well as the probability, for each possible pair user / data center, that a request from the user is scheduled to the data center. The resulting probability matrix enables the scheduler to realize the trade-off between edge processing and cloud processing. Because the mean end-to-end response time is a highly nonlinear and nonconvex function of the number of servers and scheduling probabilities, the authors used the Interior-Point/Direct algorithm of Artelys Knitro with the multistart feature to solve a continuous relaxation of the problem before rounding. Results show that the proposed approach indeed produces deployment plans at least as efficient as cloud deployments for an equal or lower budget. In addition, the proposed method outperforms purely edge deployments (i.e., when users send their requests to the closest data center) by 11% to 24%. Authors: Bin Wang, David Irwin, Prashant Shenoy, and Don Towsley https://lnkd.in/dN6s_fcT

Today we are pleased to introduce Florian, one of our optimization engineers in Lyon! Florian has been working for Artelys for almost five years! He regularly works on projects related to cutting problems. The aim is to design and implement algorithms which, based on a list of parts to be cut and the materials from which to cut them, generate cutting plans which minimize off-cuts.   “My work keeps me constantly learning and improving my skills. Thanks to this permanent evolution and these stimulating challenges, my experience at Artelys is truly enriching and motivating.”   👉 Learn more about Florian: https://lnkd.in/eGs_mx22   Artelys is constantly expanding and hashtag#WeAreHiring! You can find our career opportunities and our employee testimonies just here! 👉https://lnkd.in/eJZ7Hwar #artelys #optimisation #engineer

💥 The EU funded SUPREMAS project has officially started in May 2024. ♻ SUPREMAS will develop cost-effective modular and movable bio-syngas production units particularly suitable to treat sewage sludge, digestate and the organic fraction of municipal solid waste. ✳ The first report to be published “Syngas decentralized production framework” is expected in December 2024. Stay tuned 😉 RINA-C Mälardalen University RESET CIRCE - Centro Tecnológico Artelys Steinbeis Europa Zentrum CIIAE - Iberian Centre for Research in Energy Storage Agroamb EnGreen ERGaR European Renewable Gas Registry aisbl Águas do Porto, EM FUNDECYT-PCTEX WIP Renewable Energies