OscaR is a software framework that includes the three major optimization engines that are commonly used in operational research, namely: constraint programming, constraint-based local search, and MIP. The goal of OscaR is to address industrial problems, by making these solvers available, efficient and easy to use. The engines of OscaR have similar API, making them easy to use and hybridize for complex applications.
More informaton: OscaR and https://bitbucket.org/oscarlib/
Agenda
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11.09.2020
11.09.2020
CETIC talks
International Conference on Principles and Practice of Constraint Programming
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07.07.2020
07.07.2020
CETIC talks
An application of the OscaR optimisation engine in the area of risk analysis in system design will be presented at the ICSOFT conference (online)...
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05.05.2019
05.05.2019
CETIC talks
CETIC will present an efficient and innovative implementation of optimal risk-oriented project planning algorithms at the ICEIS conference in...
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07.02.2019
07.02.2019
CETIC talks
Hasselt University, Belgium, February 7-8 2019
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Publications
01.04.2021
01.04.2021
Publications scientifiques
Ponsard C., Grandclaudon J., Massonet P., A goal-driven approach for the joint deployment of safety and security standards for operators of...
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04.02.2021
04.02.2021
Publications scientifiques
Ospina, Gustavo & De Landtsheer, Renaud. (2021). Towards Distributed Local Search Through Neighborhood Combinators, in Proceedings of the...
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04.02.2021
04.02.2021
Scientific papers
De Landtsheer, Renaud & Fayolle, Thomas & Germeau, Fabian & Ospina, Gustavo. (2021). A Very Large Scale Neighborhood Approach to...
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