See also   google scholardblp — hal per year — hal per type


Editorial work
  1. Arnaud LiefoogheManuel López-Ibánez
    Evolutionary computation in combinatorial optimization
    Proceedings of the 18th European conference on evolutionary computation in combinatorial optimization (EvoCOP 2018)
    Lecture Notes in Computer Science (LNCS), vol 10782, Parma, Italy, 2018
    [ doi ]

  2. Dimo Brockhoff, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel
    Feature cluster on "evolutionary multiobjective optimization"
    European Journal of Operational Research, vol 243, n 2, pp 345–346, 2015
    [ doi ]



Journal papers
  1. Fabio Daolio, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka
    Problem features vs algorithm performance on rugged multi-objective combinatorial fitness landscapes
    Evolutionary Computation, vol 25, n 4, pp 555–585, 2017
    [ pdf | doi ]

  2. Bilel Derbel, Jérémie Humeau, Arnaud Liefooghe, Sébastien Verel
    Distributed localized bi-objective search
    European Journal of Operational Researchvol 239, n 3, pp 731–743, 2014
    [ pdf | doi ]

  3. Arnaud Liefooghe, Sébastien Verel, Jin-Kao Hao
    A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming
    Applied Soft Computing, vol 16, pp 10–19, 2014
    [ pdf | doi ]

  4. Jérémie Humeau, Arnaud Liefooghe, El-Ghazali Talbi, Sébastien Verel
    ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms
    Journal of Heuristics, vol 19, n 6, pp 881–915, 2013
    [ pdf | doi ]

  5. Maryam Abbasi, Luís Paquete, Arnaud Liefooghe, Miguel Pinheiro, Pedro Matias
    Improvements on bicriteria pairwise sequence alignment: algorithms and applications
    Bioinformatics, vol 29, n 8, pp 996–1003, 2013
    [ pdf | doi | sup ]

  6. Sébastien Verel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens
  7. On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives
  8. European Journal of Operational Research, vol 227, n 2, pp 331342, 2013
    [ pdfdoi ]

  9. Arnaud Liefooghe, Luís Paquete, José R Figueira
    On local search for bi-objective knapsack problems
    Evolutionary Computation, vol 21, n 1, pp 179–196, 2013
    [ pdfdoi | sup ]

  10. Arnaud Liefooghe, Matthieu Basseur, Jérémie Humeau, Laetitia Jourdan, El-Ghazali Talbi
    On optimizing a bi-objective flowshop scheduling problem in an uncertain environment
    Computers and Mathematics with Applications, vol 64, n 12, pp 3747–3762, 2012
    [ pdfdoi ]

  11. Arnaud Liefooghe, Jérémie Humeau, Salma Mesmoudi, Laetitia Jourdan, El-Ghazali Talbi
    On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems
    Journal of Heuristics, vol 18, n 2, pp 317–352, 2012
    [ pdf | doi | sup ]

  12. Matthieu Basseur, Arnaud Liefooghe, Khoi Le, Edmund K Burke
    The efficiency of indicator-based local search for multi-objective combinatorial optimization problems
    Journal of Heuristics, vol 18, n 2, pp 263–296, 2012
    [ pdf | doi ]

  13. Rémy Chevrier, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens
    Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach
    Applied Soft Computing, vol 12, pp 1247–1258, 2012
    [ pdf | doi ]

  14. Arnaud Liefooghe
    Metaheuristics for multiobjective optimisation: cooperative approaches, uncertainty handling and application in logistics
    4OR: A Quarterly Journal of Operations Research, PhD section (short paper), vol 9, n 2, pp 219–222, 2011
    [ pdf | doi ]

  15. Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi
    A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO
    European Journal of Operational Research, vol 209, n 2, pp 104–1122011
    [ bibpdfdoi ]

  16. José R Figueira, Arnaud Liefooghe, El-Ghazali Talbi, Andrzej P Wierzbicki
    A parallel multiple reference point approach for multi-objective optimization
    European Journal of Operational Research, vol 205, n 2, pp 390–400, 2010
    [ bib | pdfdoi ]

  17. Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi
    Metaheuristics and cooperative approaches for the bi-objective ring star problem
    Computers & Operations Research, vol 37, n 6, pp 1033–1044, 2010
    bib | pdf | doi | sup ]

  18. Arnaud Liefooghe, Laetitia Jourdan, Matthieu Basseur, El-Ghazali Talbi
    Métaheuristiques pour le flow-shop de permutation bi-objectif stochastique
    Revue d'Intelligence Artificielle, vol 22, n 2, pp183–208, 2008



Book chapters
  1. Matthieu Basseur, Arnaud Liefooghe
    Metaheuristics for bi-objective flowshop scheduling
    Metaheuristics for production scheduling, chapter 9, J Wiley & Sons, 2013
    [ pdf | doi ]

  2. François Legillon, Arnaud Liefooghe, El-Ghazali Talbi
    CoBRA: a coevolutionary metaheuristic for bi-level optimization
    Metaheuristics for bi-level optimization, studies in computational intelligence vol 482, chapter 4, pp 95–114, Springer, 2013
    [ pdf | doi ]

  3. Arnaud Liefooghe, Jérémie Humeau, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi
  4. ParadisEO-MOEO: a software framework for evolutionary multi-objective optimization
    Advances in multi-objective nature inspired computing, studies in computational intelligence vol 272, chapter 5, pp 87–117, Springer, 2010
    bib | pdf | doi ]



International conference reviewed papers
  1. 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), East Lansing, Michigan, USA
    pdf | doi ]

  2. 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), East Lansing, Michigan, USA
    pdf | doi ]

  3. Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Manuel López-Ibánez, Hernán Aguirre and Kiyoshi Tanaka
  4. On Pareto local optimal solutions networks
    International Conference on Parallel Problem Solving from Nature (PPSN 2018), Lecture Notes in Computer Science (LNCS), vol 11102, pp 232-244, Coimbra, Portugal, 2018  best paper nomination 
    pdf | doi ]

  5. 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), vol 11102, pp 181-193, Coimbra, Portugal, 2018
    pdf | doi ]

  6. 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), pp 753-760, Kyoto, Japan, 2018
    [ pdf | doi ]

  7. Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka
    A set-oriented MOEA/D
    Genetic and Evolutionary Computation Conference (GECCO 2018), pp 617-624, Kyoto, Japan, 2018
    [ pdf | doi ]

  8. Arnaud Liefooghe, Manuel López-Ibánez, Luís Paquete, Sébastien Verel
  9. Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference
    Genetic and Evolutionary Computation Conference (GECCO 2018), pp 324-331, Kyoto, Japan, 2018
    [ pdf | doi ]

  10. Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel
    Using parallel strategies to speed up Pareto local search
    11th International Conference on Simulated Evolution and Learning (SEAL 2017), Lecture Notes in Computer Science (LNCS), vol. 10593, pp 62–74, Shenzhen, China, 2017
     best student paper award ★
    [ pdf | doi ]

  11. Miyako Sagawa, Hernán Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka
    Learning variable importance to guide recombination on many-objective optimization
    5th International Conference on Smart Computing and Artificial Intelligence (SCAI 2017), Hamamatsu, Japan, 2017
    [ pdf | doi ]

  12. Hugo Monzon, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka
    Closed state model for understanding the dynamics of MOEAs
    Genetic and Evolutionary Computation Conference (GECCO 2017), pp 609–616, Berlin, Germany, 2017
    [ pdf | doi ]

  13. Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe
    A parallel tabu search for the unconstrained binary quadratic programming problem
    IEEE Congress on Evolutionary Computation (CEC 2017), 
    pp 557–564, Donostia – San Sebastián, Spain, 2017
    [ pdf | doi ]

  14. Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka
    Towards landscape-aware automatic algorithm configuration: preliminary experiments on neutral and rugged landscapes
    European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2017), Lecture Notes in Computer Science (LNCS), vol 10197, pp 215–232, Amsterdam, The Netherlands, 2017
    [ pdf | doi ]

  15. Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka
    A fitness landscape analysis of Pareto local search on bi-objective permutation flowshop scheduling problems
    9th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2017), Lecture Notes in Computer Science (LNCS), vol 10173, pp 422–437, Münster, Germany, 2017
    [ pdf | doi ]

  16. Oliver Cuate, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi, Oliver Schütze
    An approach for the local exploration of discrete many objective optimization problems
    9th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2017), Lecture Notes in Computer Science (LNCS), vol 10173, pp 135–150, Münster, Germany, 2017
    [ pdf | doi ]

  17. Miyako Sagawa, Hernán Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka
    Learning variable importance to guide recombination
    IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM 2016), pp 17, Athens, Greece, 2016
    [ pdf | doi ]

  18. Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán Aguirre, Kiyoshi Tanaka
    Multi-objective local search based on decomposition
    International Conference on Parallel Problem Solving from Nature (PPSN 2016), Lecture Notes in Computer Science (LNCS), vol 9921, pp 431–441, Edinburgh, Scotland, 2016 (acceptance rate = 41%)
    [ pdf | doi ]

  19. Arnaud Liefooghe, Bilel Derbel
    A correlation analysis of set quality indicator values in multiobjective optimization
    Genetic and Evolutionary Computation Conference (GECCO 2016), pp 581–588, Denver, USA, 2016 (acceptance rate = 36%)
    [ pdf | doi ]

  20. Matthieu Basseur, Bilel Derbel, Adrien Goëffon, Arnaud Liefooghe
    Experiments on greedy and local search heuristics for d–dimensional hypervolume subset selection
    Genetic and Evolutionary Computation Conference (GECCO 2016), pp 541–548, Denver, USA, 2016 (acceptance rate = 36%)
    [ pdf | doi ]

  21. Saúl Zapotecas-Martínez, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka
    Geometric differential evolution in MOEA/D: a preliminary study
    14th Mexican International Conference on Artificial Intelligence (MICAI 2015), Lecture Notes in Computer Science (LNCS), vol 9413, pp 364–376, Cuernavaca, Mexico, 2015
    [ pdf | doi ]

  22. Hernán Aguirre, Saúl Zapotecas-Martínez, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka
    Approaches for many-objective optimization: analysis and comparison on MNK-landscapes
    13th International Conference on Artificial Evolution (EA 2015), Lecture Notes in Computer Science (LNCS) vol 9554, pp14–28, Lyon, France, 2015
    [ pdf | doi ]

  23. Saul Zapotecas-Martínez, Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, Hernán Aguirre, Kiyoshi Tanaka
    Injecting CMA-ES into MOEA/D
    Genetic and Evolutionary Computation Conference (GECCO 2015), pp 783790, Madrid, Spain, 2015 (acceptance rate = 39%)
    [ pdf | doi ]

  24. Fabio Daolio, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka
    Global vs local search on multi-objective NK-landscapes: contrasting the impact of problem features
    Genetic and Evolutionary Computation Conference (GECCO 2015), pp 369–376, Madrid, Spain, 2015 (acceptance rate = 41%)  best paper award (ECOM track) 
    [ pdf | doi ]

  25. Bilel Derbel, Arnaud Liefooghe, Gauvain Marquet, El-Ghazali Talbi
    A fine-grained message passing MOEA/D
    IEEE Congress on Evolutionary Computation (CEC 2015), pp 1837–1844, Sendai, Japan, 2015
    [ pdf | doi ]

  26. Arnaud Liefooghe, Sébastien Verel, Fabio Daolio, Hernán Aguirre, Kiyoshi Tanaka
    A feature-based performance analysis in evolutionary multiobjective optimization
    8th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2015), Lecture Notes in Computer Science (LNCS) vol 9019, pp 95–109, Guimarães, Portugal, 2015
    [ pdf | doi ]

  27. Arnaud Liefooghe, Sébastien Verel, Luís Paquete, Jin-Kao Hao
    Experiments on local search for bi-objective unconstrained binary quadratic programming
    8th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2015), Lecture Notes in Computer Science (LNCS) vol 9018, pp 171–186, Guimarães, Portugal, 2015
    [ pdf | doi | sup ]

  28. Martin Drozdik, Kiyoshi Tanaka, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel
    An analysis of differential evolution parameters on rotated bi-objective optimization functions
    10th International Conference on Simulated Evolution and Learning (SEAL 2014), Lecture Notes in Computer Science (LNCS) vol 8886, pp 143–154, Dunedin, New Zealand, 2014
    [ pdf | doi ]

  29. Gauvain Marquet, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi
    Shake them all! Rethinking selection and replacement in MOEA/D
    International Conference on Parallel Problem Solving from Nature (PPSN 2014), Lecture Notes in Computer Science (LNCS) vol 8672, pp 641–651, Ljubljana, Slovenia, 2014 (acceptance rate = 41%)  best paper nomination 
    [ pdf | doi ]

  30. Manuel López-Ibánez, Arnaud Liefooghe, Sébastien Verel
    Local optimal sets and bounded archiving on multi-objective NK-landscapes with correlated objectives
    International Conference on Parallel Problem Solving from Nature (PPSN 2014), Lecture Notes in Computer Science (LNCS) vol 8672, pp 621–630, Ljubljana, Slovenia, 2014 (acceptance rate = 41%)
    [ pdf | doi ]

  31. Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sébastien Verel
    On the impact of multiobjective scalarizing functions
    International Conference on Parallel Problem Solving from Nature (PPSN 2014), Lecture Notes in Computer Science (LNCS) vol 8672, pp 548–558, Ljubljana, Slovenia, 2014 (acceptance rate = 41%)
    pdf | doi ]

  32. Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka
    An analysis on selection for high-resolution approximations in many-objective optimization
    International Conference on Parallel Problem Solving from Nature (PPSN 2014), Lecture Notes in Computer Science (LNCS) vol 8672, pp 487–497, Ljubljana, Slovenia, 2014 (acceptance rate = 41%)
    pdf | doi ]

  33. Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka
    What makes an instance difficult for black-box 0–1 evolutionary multiobjective optimizers?
    11th International Conference on Artificial Evolution (EA 2013) — Revised Selected Papers, Lecture Notes in Computer Science (LNCS) vol 8752, pp 3–15, Bordeaux, France, 2013
    [ pdf | doi ]

  34. Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka
    A study on population size and selection lapse in many-objective optimization
    IEEE Congress on Evolutionary Computation (CEC 2013), pp 15071514, Cancún, Mexico, 2013
    [ pdf | doi ]

  35. Matthieu Basseur, Adrien Goëffon, Arnaud Liefooghe, Sébastien Verel
    On set-based local search for multiobjective combinatorial optimization
    Genetic and Evolutionary Computation Conference (GECCO 2013), pp 471–478, Amsterdam, The Netherlands, 2013
    [ pdf | doi ]

  36. Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe
    Force-based cooperative search directions in evolutionary multi-objective optimization
    Conference on Evolutionary Multi-Criterion Optimization (EMO 2013), Lecture Notes in Computer Science (LNCS) vol 7811, pp 383–397, Sheffield, UK, 2013
    [ pdf | doi ]

  37. Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka
    Effects of population size on selection and scalability in evolutionary many-objective optimization
    Learning and Intelligent OptimizatioN Conference (LION 7) – Short Paper, Lecture Notes in Computer Science (LNCS) vol 7997, pp 450–454, Catania, Italy, 2013
    [ pdf | doi ]

  38. François Legillon, Arnaud Liefooghe, El-Ghazali Talbi
    CoBRA: a cooperative coevolutionary algorithm for bi-level optimization
    IEEE Congress on Evolutionary Computation (CEC 2012), pp 1–8, Brisbane, Australia, 2012
    [ pdf | doi ]

  39. Marie-Éléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel
    The road to VEGAS: guiding the search over neutral networks
    Genetic and Evolutionary Computation Conference (GECCO 2011), pp 1979–1986, Dublin, Ireland, 2011 (acceptance rate = 38%)
    [ pdf | doi ]

  40. Sébastien Verel, Arnaud Liefooghe, Clarisse Dhaenens
    Set-based multiobjective fitness landscapes: a preliminary study
    Genetic and Evolutionary Computation Conference (GECCO 2011), pp 769–776, Dublin, Ireland, 2011 (acceptance rate = 38%)
    [ pdf | doi ]

  41. Sébastien Verel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens
    Pareto local optima of multiobjective NK-landscapes with correlated objectives
    11th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2011), Lecture Notes in Computer Science (LNCS) vol 6622, pp 226–237, Torino, Italy, 2011 (acceptance rate = 52%)  best paper nomination 
    pdf | doi ]

  42. Marie-Éléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel
    NILS: a neutrality-based iterated local search and its application to flowshop scheduling
    11th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2011), Lecture Notes in Computer Science (LNCS) vol 6622, pp 191–202, Torino, Italy, 2011 (acceptance rate = 52%)
    pdf | doi ]

  43. Arnaud Liefooghe, Luís Paquete, Marco Simoes, José R Figueira
    Connectedness and local search for bicriteria knapsack problems
    11th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2011), Lecture Notes in Computer Science (LNCS) vol 6622, pp 48–59, Torino, Italy, 2011 (acceptance rate = 52%)  best paper award ★
    pdf | doi ]

  44. Marie-Éléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel
    On the neutrality of flowshop scheduling fitness landscapes
    Learning and Intelligent OptimizatioN (LION 5) – Selected Papers, Lecture Notes in Computer Science (LNCS) vol 6683, pp 238–252, Rome, Italy, 2011 (acceptance rate = 49%)
    [ pdf | doi ]

  45. Sébastien Verel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens
    Analyzing the effect of objective correlation on the efficient set of MNK-landscapes
    Learning and Intelligent OptimizatioN (LION 5) – Selected Papers, Lecture Notes in Computer Science (LNCS) vol 6683, pp 116–130, Rome, Italy, 2011 (acceptance rate = 49%)
    [ pdf | doi ]

  46. Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau, Laetitia Jourdan, Clarisse Dhaenens
    On the effect of connectedness for biobjective multiple and long path problems
    Learning and Intelligent OptimizatioN (LION 5) – Selected Papers, Lecture Notes in Computer Science (LNCS) vol 6683, pp 31–45, Rome, Italy, 2011 (acceptance rate = 49%)
    [ pdf | doi ]

  47. Rémy Chevrier, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens
    On optimizing a demand responsive transport with an evolutionary multiobjective approach
    13th International IEEE Conference on Intelligent Transportation Systems (ITSC 2010), pp 575–580, Madeira, Portugal, 2010
    [ bib | pdf | doi ]

  48. Arnaud Liefooghe, Salma Mesmoudi, Jérémie Humeau, Laetitia Jourdan, El-Ghazali Talbi
    A study on dominance-based local search approaches for multiobjective combinatorial optimization
    2nd International Workshop on Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics (SLS 2009), Lecture Notes in Computer Science (LNCS) vol 5752, pp 120–124, Brussels, Belgium, 2009 (acceptance rate = 37%)
    bib | pdf | doi ]

  49. Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi
    A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework
    IEEE Symposium on Computational intelligence in Multi-Criteria Decision-Making (IEEE MCDM 2009), pp 88–95, Nashville, Tennessee, USA, 2009
    bib | pdf | doi ]

  50. Arnaud Liefooghe, Laetitia Jourdan, Nicolas Jozefowiez, El-Ghazali Talbi
    On the integration of a TSP heuristic into an EA for the bi-objective ring star problem
    5th International Workshop on Hybrid Metaheuristics (HM 2008), Lecture Notes in Computer Science (LNCS) vol 5296, pp 117–130, Malaga, Spain, 2008 (acceptance rate = 42%)
    bib | pdf | doi ]

  51. Arnaud Liefooghe, Laetitia Jourdan, Matthieu Basseur, El-Ghazali Talbi, Edmund K Burke
    Metaheuristics for the bi-objective ring star problem
    8th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2008), Lecture Notes in Computer Science (LNCS) vol 4972, pp 206–217, Napoli, Italy, 2008 (acceptance rate = 35%)
    bib | pdf | doi ]

  52. Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi
    Combinatorial optimization of stochastic multi-objective problems: an application to the flow-shop scheduling problem
    4th International Conference on Evolutionary Multi-criterion Optimization (EMO 2007), Lecture Notes in Computer Science (LNCS) vol 4403, pp 457–471, Matsushima, Japan, 2007 (acceptance rate = 52%)  Microsoft student grant 
    bib | pdf | doi ]

  53. Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi
    ParadisEO-MOEO: a framework for evolutionary multi-objective optimization
    4th International Conference on Evolutionary Multi-criterion Optimization (EMO 2007), Lecture Notes in Computer Science (LNCS) vol 4403, pp 386–400, Matsushima, Japan, 2007 (acceptance rate = 52%)  Microsoft student grant 
    bib | pdf | doi ]



Talks, seminars & tutorials
  • Fitness landscape analysis and algorithm performance for single- and multi-objective combinatorial optimization
    Tutorial, IEEE Congress on Evolutionary Computation (CEC 2017), Donostia – San Sebastián, Spain, June 2017
    (with Sébastien Verel)
     slides ]

  • Designing and understanding EMO algorithms
    Invited talk, City University, Hong Kong, November 2016
    (joint work with Bilel Derbel)

  • Fitness landscape analysis, problem features and performance prediction for multi-objective optimization
    Workshop on Landscape-aware heuristic search (PPSN 2016), Edinburgh, UK, September 2016
    (joint work with Fabio Daolio, Sébastien Verel, Hernan Aguirre, and Kiyoshi Tanaka)

  • Multi-objective fitness landscapes and the feature-based design and performance of EMO algorithms
    Invited talk, Shinshu University, Engineering Campus, Nagano, Japan, December 2015
    (joint work with Fabio Daolio, Sébastien Verel, Hernan Aguirre, and Kiyoshi Tanaka)

  • Métaheuristiques pour l'optimisation combinatoire multiobjectif
    Invited talk, I3S, Université Nice Sophia Antipolis, September 2012

  • À propos de la structure des problèmes d'optimisation combinatoire multi-objectif
    Invited talk, Journées multicritère/multi-objectif, Fédération Charles Hermite, Nancy Université, September 2011

  • On the Search Space Structure of Multiobjective Combinatorial Optimization Problems
    Invited talk, IRIDIA, Université Libre de Bruxelles, May 2011

  • On the Search Space Structure of Multiobjective Combinatorial Optimization Problems
    Invited talk, LERIA, Université d'Angers, January 2011

  • Identification et approximation de l'ensemble Pareto optimal en optimisation combinatoire multiobjectif
    Invited talk, Laboratoire Génie Industriel, École Centrale Paris, France, May 2010

  • Optimisation combinatoire multiobjectif : Identification et approximation de l'ensemble Pareto optimal
    Invited talk, LAMSADE, Université Paris-Dauphine, France, May 2010

  • Metaheuristics for Multiobjective Combinatorial Optimization
    Invited talk, Department of Informatics Engineering, University of Coimbra, Portugal, January 2010

  • Optimisation évolutionnaire multi-objectif
  • Tutorial (2 hours), École d’été Évolution Artificielle, Porquerolles, France, June 2009

  • Introduction aux métaheuristiques
    Tutorial (2 hours), École d’été Évolution Artificielle, Porquerolles, France, June 2008

  • Metaheuristics for Multi-objective Optimization
    COST IC0602 International Doctoral School, Algorithmic Decision Theory: MCDA and MOO, Han-sur-Lesse, Belgium, September 2007



Research reports
  • Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sébastien Verel
    On the impact of scalarizing functions on evolutionary multiobjective optimization
    Research Report RR-8512, INRIA, 2014 
  • (extended version of the paper published in PPSN 2014)
    [ link ]

  • Jérémie Humeau, Arnaud Liefooghe, El-Ghazali Talbi, Sébastien Verel
  • ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms
    Research Report RR-7871, INRIA, 2012
    (draft version of the paper published in Journal of Heuristics, 2013)
    [ link ]

  • François Legillon, Arnaud Liefooghe, El-Ghazali Talbi
  • CoBRA: a coevolutionary meta-heuristic for bi-level optimization
  • Research Report RR-7741, INRIA, 2011
  • (draft version of the paper published in S
  • tudies in Computational Intelligence, 2013
    )
    [ link ]
  • Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi
    A unified model for evolutionary multiobjective optimization and its implementation in a general purpose software framework: ParadisEO-MOEO
    Research Report RR-6906, INRIA, 2009
    (draft version of the paper published in European Journal of Operational Research, 2011)
    link ]

  • José R Figueira, Arnaud Liefooghe, El-Ghazali Talbi, Andrzej P Wierzbicki
    A parallel multiple reference point approach for multi-objective optimization
    Research Report RR-6938, INRIA, 2009
    (draft version of the paper published in European Journal of Operational Research, 2010)
    link ]

  • Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi
    Metaheuristics and their hybridization to solve the bi-objective ring star problem: a comparative study
    Research Report RR-6515, INRIA, 2008
    (draft version of the paper published in Computers & Operations Research, 2010)
    link ]



Theses