Artelys Kalis 12.8: Solve your biggest Job shop problems!
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.
Knitro 14.2 solve your toughest nonlinear non-convex models in seconds
— We are pleased to announce that Artelys Knitro 14.0 is now available! This new version enables compagnies to solve complex non-linear optimization problems with unprecedented efficency and precision.
Artelys Powers the Launch of CorNet’s Common Grid Model (CGM) Service
Artelys has been selected to develop computation engine modules for the Common European Merging Function (EMF) used in the core of the CorNet program’s RCC Service Platform, enabling pan-European operational power grid coordination and security analysis.
Driving Renewable Energy Integration: Advanced Solutions to increase the existing power grid’s renewable hosting capacity
Artelys proposes a methodology based on Artificial Intelligence to evaluate the increase of hosting capacity of variable Renewable Energy Sources (vRES) in electrical networks thanks to Grid Enhancing Technologies (GETs). .
Artelys Participates in the European HyNet Project to Optimize Hybrid AC/DC Power Grids
As part of the Horizon Europe program, Artelys is participating in the HyNet project. This initiative aims to study and optimize the operation of hybrid AC/DC power grids in the context of the rapid growth of power electronics-based technologies and the widespread deployment of distributed energy resources.
subscribe to our newsletters
© ARTELYS • All rights reserved • Legal mentions
Artelys Kalis 12.8: Résolvez des problèmes de job shop toujours plus grands !
Principales nouveautés
Cette nouvelle version permet de résoudre plus facilement les problèmes de job-shop (JSP). Artelys Kalis améliore la modélisation et la résolution de problèmes d’optimisation en informatique et en recherche opérationnelle pour lesquels des tâches doivent être planifiées et affectées à des ressources.
Du point de vue de la modélisation, il est désormais possible pour l’utilisateur de définir un set-up time entre deux tâches nécessitant la même ressource. Par exemple, il devient facile de modéliser un problème de planification de tâches de maintenance localisées à des lieux différents, et pour lesquelles les techniciens compétents pour les accomplir doivent se déplacer entre elles.
Du point de vue de la résolution, l’algorithme Timetable (algorithme utilisé pour la propagation des contraintes entre tâches et ressources) a été largement amélioré, notamment pour les ressources alternatives. Des gains de performance importants en résultent. Pour un problème de planification avec 250 ressources alternatives en fonction du nombre de tâches planifiées, la nouvelle version d’Artelys Kalis permet de significativement réduire le temps de calcul :
De plus, Artelys Kalis 12.8 inclut maintenant les fonctionnalités suivantes :
- Support de Python 3
- Générateur cross-platform de nombres aléatoires
Pour plus d’information, n’hésitez pas à nous contacter!
Knitro 14.2 solve your toughest nonlinear non-convex models in seconds
— We are pleased to announce that Artelys Knitro 14.0 is now available! This new version enables compagnies to solve complex non-linear optimization problems with unprecedented efficency and precision.
Artelys Powers the Launch of CorNet’s Common Grid Model (CGM) Service
Artelys has been selected to develop computation engine modules for the Common European Merging Function (EMF) used in the core of the CorNet program’s RCC Service Platform, enabling pan-European operational power grid coordination and security analysis.
Driving Renewable Energy Integration: Advanced Solutions to increase the existing power grid’s renewable hosting capacity
Artelys proposes a methodology based on Artificial Intelligence to evaluate the increase of hosting capacity of variable Renewable Energy Sources (vRES) in electrical networks thanks to Grid Enhancing Technologies (GETs). .
Artelys Participates in the European HyNet Project to Optimize Hybrid AC/DC Power Grids
As part of the Horizon Europe program, Artelys is participating in the HyNet project. This initiative aims to study and optimize the operation of hybrid AC/DC power grids in the context of the rapid growth of power electronics-based technologies and the widespread deployment of distributed energy resources.
