Arnaud Liefooghe


Associate Professor — Univ Lille (France)

Member of the CRIStAL research center (UMR 9189, Univ Lille, CNRS, EC Lille)

Member of the Inria Lille - Nord Europe research center

Member of the Bonus research group

Co-director of the international associated laboratory MODŌ (France / Japan)

Director of studies of the 2nd-year Master degree MIAGE IPI-NT


arnaud.liefooghe [at] univ-lille.fr


What's new?


Upcoming events      |  CIMO 2019  |  GECCO 2019  |  FOGA 2019  |

Student projects        |  algo-selection  |  meta-models  |  learn-predict-optimize  |  traveling-thief  |  scheduling  |  pickup-delivery  |  constraints  |

                                    > We are seeking good and motivated candidates for internships, master / PhD thesis, post-docs... feel free to contact us


Short biography

  Since 2010 Associate Professor (Maître de Conférences) in Computer Science, Univ Lille (FR)
Lecturer, Computer Science DepartmentFaculty of Science and Technology
Member of the Bonus (ex-Dolphin) research group, CRIStAL (UMR CNRS 9189), Inria Lille-Nord Europe
  2010 Post-doctoral ResearcherUniv Coimbra (PT)
ECOS research group, CISUCDepartment of Informatics Engineering
  2006—09 PhD Student in Computer Science, Univ Lille 1 (FR)
Adjunct Professor (ATER, UFR EPU, 2008—10)
Part-time Lecturer (vacataire, UFR IEEA, 2006—08)

Research interests
  • Multi-objective optimization
  • Foundations, design and analysis of exact and stochastic local search heuristic algorithms
  • Decomposition-, dominance-, indicator- and set-based search paradigms and their design principles
  • Analytics-driven and model-assisted autonomous search for cross-domain and any-objective optimization
  • Experimental analysis and fundamental understanding of optimization algorithms, benchmarking and performance assessment, statistical and machine learning data analysis
  • Fitness landscape analysis, feature-based performance prediction, algorithm selection, configuration and adaptation, algorithm portfolio
  • Large-scale and expensive NP-hard problems from combinatorial optimization

Recent scientific and academic activities

Recent publications
  • Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre and Kiyoshi Tanaka. Surrogate-assisted multi-objective optimization based on decomposition: a comprehensive comparative analysis. Genetic and Evolutionary Computation Conference (GECCO 2019), Prague, Czech Republic, 2019
  • Taishi Ito, Hernán Aguirre, Kiyoshi Tanaka, Arnaud Liefooghe, Bilel Derbel and Sébastien Verel. Estimating the relevance of variables for effective recombination. 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019), Lecture Notes in Computer Science (LNCS), vol 11411, pp 411-423, East Lansing, Michigan, USA, 2019
  • Yuri Marca, Hernan Aguirre, Saúl Zapotecas, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel and Kiyoshi Tanaka. Approximating the Pareto set topology by cubic interpolation on bi-objective problems. 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019), Lecture Notes in Computer Science (LNCS), vol 11411, pp 386-398, East Lansing, Michigan, USA, 2019  best student paper award ★
  • Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Manuel López-Ibánez, Hernán Aguirre and Kiyoshi Tanaka.On Pareto local optimal solutions networks. International Conference on Parallel Problem Solving from Nature (PPSN 2018), Lecture Notes in Computer Science (LNCS), Coimbra, Portugal, 2018
  • Sébastien Verel, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre and Kiyoshi Tanaka. A surrogate model based on Walsh decomposition for pseudo-boolean functions. International Conference on Parallel Problem Solving from Nature (PPSN 2018), Lecture Notes in Computer Science (LNCS), Coimbra, Portugal, 2018
  • Arnaud Liefooghe, Manuel López-Ibánez, Luís Paquete, Sébastien Verel. Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference. Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, 2018
  • Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. A set-oriented MOEA/D. Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, 2018
  • Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud LiefoogheJianyong Sun. Parallel Pareto local search revisited  First experimental results on bi-objective UBQP. Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, 2018
  • Fabio Daolio, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. Problem features vs algorithm performance on rugged multi-objective combinatorial fitness landscapesEvolutionary Computationvol 25, n 4, pp 555585, 2017
    more ]

Software and ressources
  • MOEA/D — repository of the state-of-the-art developments on MOEA/D and decomposition-based EMO
  • ParadisEO — a software framework for the design of metaheuristics (MOEO for multi-objective optimization, MO for local search)
  • MOSAL — multi-objective sequence alignment tools
  • MoCObench — benchmark instances for multi-objective combinatorial optimization

Teaching
  • Director of studies of the MIAGE IPI-NT master degree in computer science (2nd year)
  • Algorithmic information theory and computer programming (BSc)
  • Operations research, optimization and decision making (BSc, MSc)
  • Database and decision support systems (MSc)
  • Object-oriented design and programming (MSc)