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Projects RO
Team : RO
DynaBBO - Dynamic Selection and Configuration of Black-box Optimization Algorithms
DynaBBO (Dynamic Selection and Configuration of Black-box Optimization Algorithms) is an ERC Consolidator research project started in October 2024 and coordinated by Carola Doerr. It aims at improving black-box optimisation technics; technics which are heavily relied-on by the industry sector and based on the repetition of experiments or numerical simulations to evaluate potential solutions to a problem.
Project Leader : carola doerr
10/01/2024
Algorithmes avec prédictions
Project Leader : Spyros Angelopoulos
10/01/2023
Bridging Black-box Optimization and Machine Learning for Dynamic Algorithm Configuration
Project Leader : Carola Doerr
10/01/2023
THéorie et observation Empirique pour Mesurer l’Influence dans les Structures sociales
In the literature of cooperative games, the notion of power index has been widely used to evaluate the inuence" of individual players (e.g., voters, political parties, nations, etc.) involved in a collective decision process, i.e. their ability to force a decision in situations like an electoral system, parliament, a governing council, a management board, etc. In practical situations, however, the information concerning the strength of coalitions and their e ective possibilities of cooperation is not easily accessible due to heterogeneous and hardly quanti able factors about the performance of groups, their bargaining abilities, moral and ethical codes and other psychological" attributes (e.g., the power obtained by threatening not to cooperate with other players). So, any attempt to numerically represent the inuence of groups and individuals conicts with the complex and multi-attribute qualitative nature of the problem. Previous applications of cooperative games show that this type of qualitative information is central for the evaluation of the individual inuence in voting systems and in social networks, the degree of acceptability of arguments in a debate, or the importance of criteria in a multi-criteria decision-making process, etc.
Project Leader : Fanny Pascual
Partners : université Paris Dauphine CNRS Hauts de France
10/01/2020