My research focuses on the design of metaheuristics using automatic configuration and landscape analysis both in single and multi-objective combinatorial optimization. Metaheuristics are efficient algorithms that need to be finely tuned. My work aims at making "intelligent" the design of these metaheuristics and particularly, the local search algorithms, by automating the setting of the strategies and the numerical parameters in order to design autonomous metaheuristics able to adapt instantly to the local problem structure.

Current Phd Students

• 2021 - ... : Clément Legrand (IA Scholarship) "Enhancing Multi-Objective Metaheuristics with Knowledge Discovery", co-supervised with Laetitia Jourdan and Diego Cattaruzza
• 2020 - ... : Thomas Feutrier (University of Lille Scholarship) "Automatic Design of curriculum-based timetabling", co-supervised with Nadarajen Veerapen
   

Former Phd Students

• 2019 - 2022 : Laurent PARMENTIER (Cifre OVH) "Multiobjective AutoML", co-supervised with Laetitia Jourdan
• 2018 - 2022 : Weerapen SAE-DAN  (Merit scholarship of Thai government) "Automatic Design of Dynamic Local Search Algorithms", co-supervised with Laetitia Jourdan and Nadarajen Veerapen
• 2017 - 2021 : Lucas PAVELSKI (Brazilian scholarship) "Landscape-based Algorithm Selection in Combinatorial Optimization",  co-supervised with Myriam DelgadoFormer PhD Students
• 2015 - 2018 :  Aymeric BLOT (ENS Scholarship) "Readting and Adapting to the environment: Designing Autonomous Methods for Multi-Objective Combinatorial Optimisation " co-supervised  with Laetitia Jourdan, defended on September 21st 2018. Now: Postdoc at UCL (London, UK)
• 2015 - 2018 : Lucien Mousin (University of Lille Scholarship) "Extract and Exploit Knowledge to better optimize" co-supervised with Clarisse Dhaenens, defended on November 28th 2018. Now: Associate Professor in Université Catholique de Lille (France)
   

Postdoc Researchers

• Sara Tari (2019-2021), funded by Interreg Pathacov Project

• Myriam Delgado -- Federal University of Technology of Paraná (Brazil)
  Landscape-based algorithm selection
• Holger Hoos -- University of Leiden (Netherlands)
  Multi-objective Automatic Algorithm Configuration
• Manuel López-Ibánez -- University of Manchester (UK)
  Automatic configuration of local search
  Initialization techniques for multi-objective local search
• Hernán Aguirre and Kyoshi Tanaka -- Shinshu University (Nagano, Japan)
  Neutrality in multi-objective optimization: definitions and interpretations
• Franco Mascia and Thomas Stützle -- Université Libre de Bruxelles (Belgium)
  Automatic configuration of local search
• Patrick De Causmaecker -- KU Leuven University (Kortrijk, Belgique)
  Design of adaptive multi-objective stochastic local search algorithms
• Olivier Regnier-Coudert -- Gordon University (Aberdeen, UK)
  Factoradics representation for permutation problems in local search algorithms
   

International project

Interreg V France-Wallonie-Vlaanderen -  Pathacov - 2018-2022 Partners: CHRU-Lille, CHU-Reims, Katholieke Universiteit Leuven (KUL), IMT Lille Douai, Ulg Arlon, Materia-Nova, Université de Rems, UMONS, Univ. Lille (ORKAD Team), CHU Amiens, Eura-Santé

National project

PHRCI-16-089 CATOCOV (Promoter CHRU Lille - Sébastien Hulo) :Analysis of Volatile Organic Compounds in Exhaled Air as a Diagnostic Tool for Thoracic Cancers

CPER Data Phase 3 , projet PARSAT

University of Lille funded project

BQR Internationalization 2018

BQR Invited Professor 2017 for Myriam Delgado (Federal University of Technology of Paraná, Brazil)