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Section: Partnerships and Cooperations
International Initiatives
Inria International Labs
Inria Chile
Associate Team involved in the International Lab:
BIPLOS
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International Partner (Institution - Laboratory - Researcher):
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See also: https://team.inria.fr/inocs/
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This projet is devoted to bilevel optimisation problems with application in the security and logistics domains. Stackelberg games, including one defender and several followers, and competitive location problems will be considered. Mixed integer linear optimisation models and efficient algorithms to solve them will be developed.
Inria Associate Teams Not Involved in an Inria International Labs
LOBI
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International Partner (Institution - Laboratory - Researcher):
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See also: https://team.inria.fr/lobi/
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The interplay between optimization and machine learning is one of the most important developments in modern computational science. Simultaneously there is a tremendous increase in the availability of large quantities of data in a multitude of applications, and a growing interest in exploiting the information that this data can provide to improve decision-making. Given the importance of big data in business analytics, its explicit integration into an optimization process is a challenge with high potential impact. The innovative project is concerned with the interconnection between machine learning approaches and a particular branch of optimization called bilevel optimization in this “big data” context. More precisely, we will focus on the development of new approaches integrating machine learning within bilevel optimization (LOBI: “learning au sein de l'Optimisation BIniveau”) for two important practical applications, the pricing problem in revenue management and the energy ressource aggregation problem in smart grids. The applications arise from current industry collaborations of the teams involved, and will serve as testbeds to demonstrate the potential impact of the proposed approach.
North-European associated team
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International Partner (Institution - Laboratory - Researcher):
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In this project, we consider an urban logistic terminal and new logistics services which could be developed according to a Physical Internet approach. The main objective is to evaluate the services using optimization models created within the project. We are developing optimization models to identify win-win cooperation between carriers based on supply and demand. We aim to explore how to include stochasticity in the description of the supplies and demands, as well as travel times, and to what extent the plans within a day can improve by such knowledge. The second task is to develop solution algorithms for these models. These are real scientific challenges as we are facing stochastic mixed integer problems.
Inria International Partners
Informal International Partners
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Department of Statistics and Operations Research, University of Vienna, Austria
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Centre for Quantitative Methods and Operations Management, HEC-Liège, Belgium
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Interuniversity Centre on Entreprise Networks, Transportation and Logistics (CIRRELT), Montreal, Canada
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Department of Industrial Engineering, University of Talca, Curicó, Chile
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Complex Engineering Systems Institute (ISCI), University of Chile, Santiago, Chile
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The Centre for Business Analytics, University College Dublin, Ireland
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Department of Electrical, Electronic, and Information Engineering, University of Bologna, Italy
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Department of Electrical and Information Engineering, University of Padova, Italy
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Department of Control and Computer Engineering, Politecnico di Torino, Italy
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Department of Statistics and Operations Research, Universidade de Lisboa, Portugal
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Department of Statistics and Operational Research, University of Murcia, Spain
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Stewart School of Industrial and Systems Engineering, Georgia Tech Institute of Technology, USA