Number of documents

5

Gauthier Picard, Full Professor


Gauthier Picard received a Ph.D. in Computer Science from the University of Toulouse in 2004, and the Habilitation degree in Computer Science from the University of Saint-Etienne in 2014. He is currently full professor in Computer Science at MINES Saint-Etienne and a researcher at Laboratoire Hubert Curien UMR CNRS 5516. His research focuses on cooperation and adaptation in multi-agent systems and distributed optimization with applications to smart grids, aircraft design, ambient intelligence, and intelligent transport.

More details at http://www.emse.fr/~picard


"Juan A. Rodríguez-Aguilar"   

Conference papers4 documents

  • Jesús Cerquides, Gauthier Picard, Juan A. Rodríguez-Aguilar. Defining a Continuous Marketplace for the Trading and Distribution of Energy in the Smart Grid. Second Workshop on Interfaces between Multiagent Systems, Machine Learning and Complex Systems, Jul 2015, Buenos Aires, Argentina. pp.37-48. ⟨hal-01176883⟩
  • Jesús Cerquides, Gauthier Picard, Juan A. Rodríguez-Aguilar. Defining and solving the energy allocation problem with continuous prosumers. 18th International Conference of the Catalan Association of Artificial Intelligence (CCIA'15), Catalan Association for Artificial Intelligence, Oct 2015, València, Spain. pp.29-38, ⟨10.3233/978-1-61499-578-4-29⟩. ⟨hal-01176889⟩
  • Jesús Cerquides, Gauthier Picard, Juan A. Rodríguez-Aguilar. Conception d'une place de marché pour la vente et la distribution d'énergie dans les smart grids. 23es Journées Francophones sur les Systèmes Multi-Agents (JFSMA'15), Jun 2015, Rennes, France. ⟨hal-01139791⟩
  • Jesús Cerquides, Gauthier Picard, Juan A. Rodríguez-Aguilar. Designing a Marketplace for the Trading and Distribution of Energy in the Smart Grid. 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015, Istanbul, Turkey. pp.1285-1293. ⟨hal-01122020⟩

Reports1 document

  • Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar. Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems. [Research Report] Ecole des Mines de Saint Etienne (EMSE). 2017. ⟨hal-01534066⟩