Publications

Pierrick Legrand, Arnaud Liefooghe, Ed Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton. Artificial evolution. Proceedings of the 15th International Conference on Artificial Evolution (EA 2022), revised selected papers. Lecture Notes in Computer Science (LNCS), vol 14091, Exeter, UK, 2022

Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer. Artificial evolution. Proceedings of the 14th International Conference on Artificial Evolution (EA 2019), revised selected papers. Lecture Notes in Computer Science (LNCS), vol 12052, Mulhouse, France, 2019

Arnaud Liefooghe, Luís Paquete. Evolutionary computation in combinatorial optimization. Proceedings of the 19th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2019). Lecture Notes in Computer Science (LNCS), vol 11452, Leipzig, Germany, 2019

Manuel López-Ibáñez, Arnaud Liefooghe. Evolutionary computation in combinatorial optimization. Proceedings of the 18th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2018). Lecture Notes in Computer Science (LNCS), vol 10782, Parma, Italy, 2018

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

Bilel Derbel, Geoffrey Pruvost, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang. Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. Applied Soft Computing, vol 136, pp 110061, 2023 

Richard Allmendinger, Andrzej Jaszkiewicz, Arnaud Liefooghe, Christiane Tammer. What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization. Computers & Operations Research, vol 145, pp 105857, 2022

Alexandre Jesus, Luís Paquete, Arnaud Liefooghe. A model of anytime algorithm performance for bi-objective optimization. Journal of Global Optimization, vol 79, n 1, pp 329–350, 2021

Arnaud Liefooghe, Fabio Daolio, Sébastien Verel, Bilel Derbel, Hernán Aguirre, Kiyoshi Tanaka. Landscape-aware performance prediction for evolutionary multi-objective optimization. IEEE Transactions on Evolutionary Computation, vol 24, n 6, pp 1063–1077, 2020

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

Bilel Derbel, Jérémie Humeau, Arnaud Liefooghe, Sébastien Verel. Distributed localized bi-objective search. European Journal of Operational Research, vol 239, n 3, pp 731–743, 2014

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

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

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 [ sup ]

Sébastien Verel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens. On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives. European Journal of Operational Research, vol 227, n 2, pp 331–342, 2013

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 [ sup ]

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

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 [ sup ]

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

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

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

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 104–112, 2011

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

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

Matthieu Basseur, Arnaud Liefooghe. Metaheuristics for bi-objective flowshop scheduling. Metaheuristics for production scheduling, chapter 9, J Wiley & Sons, 2013

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

Arnaud Liefooghe, Jérémie Humeau, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi. 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

Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy. Applying Ising machine to multi-objective QUBOs. Genetic and Evolutionary Computation Conference Companion (GECCO 2023), pp 2166–2174, Lisbon, Portugal, 2023

Arnaud Liefooghe, Katherine M. Malan. Adaptive landscape-aware constraint handling with application to binary knapsack problems. Genetic and Evolutionary Computation Conference Companion (GECCO 2023), pp 2064–2071, Lisbon, Portugal, 2023

🥇 Arnaud Liefooghe, Gabriela Ochoa, Sébastien Verel, Bilel Derbel. Pareto local optimal solutions networks with compression, enhanced visualization and expressiveness. Genetic and Evolutionary Computation Conference (GECCO 2023), pp 713–721, Lisbon, Portugal, 2023 ✭ best paper award ✭

🥉 Arnaud Liefooghe, Manuel López-Ibáñez. Many-objective (combinatorial) optimization is easy. Genetic and Evolutionary Computation Conference (GECCO 2023), pp 704–712, Lisbon, Portugal, 2023 ✭ best paper nomination ✭

Gabriela Ochoa, Arnaud Liefooghe, Yuri Lavinas, Claus Aranha. Decision/objective space trajectory networks for multi-objective combinatorial optimisation. 23rd European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2023), Lecture Notes in Computer Science (LNCS), vol 13987, pp 211–226, Brno, Czech Republic, 2023

Arnaud Liefooghe, Sébastien Verel, Tinkle Chugh, Jonathan Fieldsend, Richard Allmendinger, Kaisa Miettinen. Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective. 12th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2023), Lecture Notes in Computer Science (LNCS), vol 13970, pp 260–273, Leiden, The Netherlands, 2023

Roberto Santana, Arnaud Liefooghe, Bilel Derbel. Boomerang-shaped neural embeddings for NK landscapes. Genetic and Evolutionary Computation Conference (GECCO 2022), pp 858–866, Boston, MA, USA, 2022

🥉 Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe. Multi-objective NK landscapes with heterogeneous objectives. Genetic and Evolutionary Computation Conference (GECCO 2022), pp 502–510, Boston, MA, USA, 2022 ✭ best paper nomination ✭

Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Qingfu Zhang, Kiyoshi Tanaka. Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. Genetic and Evolutionary Computation Conference (GECCO 2022), pp 493–501, Boston, MA, USA, 2022

Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys. Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics — 22 years of Paradiseo. Genetic and Evolutionary Computation Conference Companion (GECCO 2021), pp 1522–1530, Lille, France, 2021

🥉 Arnaud Liefooghe, Sébastien Verel, Benjamin Lacroix, Alexandru-Ciprian Zăvoianu, John McCall. Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. Genetic and Evolutionary Computation Conference (GECCO 2021), pp 421–429, Lille, France, 2021 ✭ best paper nomination ✭

Alexandre Jesus, Luís Paquete, Bilel Derbel, Arnaud Liefooghe. On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimization. Genetic and Evolutionary Computation Conference (GECCO 2021), pp 234–242, Lille, France, 2021

🥉 Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka, Qingfu Zhang. Decomposition-based multi-objective landscape features and automated algorithm selection. 21th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2021), Lecture Notes in Computer Science (LNCS), vol 12692, pp 34–50, Virtual event, 2021 ✭ best paper nomination ✭

Jesús Guillermo Falcón-Cardona, Arnaud Liefooghe, Carlos A. Coello Coello. An ensemble indicator-based density estimator for evolutionary multi-objective optimization. International Conference on Parallel Problem Solving from Nature (PPSN 2020), Lecture Notes in Computer Science (LNCS), vol 12270, pp 201–214, Leiden, The Netherlands, 2020

Brahim Aboutaib, Sébastien Verel, Cyril Fonlupt, Bilel Derbel, Arnaud Liefooghe, Belaïd Ahiod. On stochastic fitness landscapes: local optimality and fitness landscape analysis for stochastic search operators. International Conference on Parallel Problem Solving from Nature (PPSN 2020), Lecture Notes in Computer Science (LNCS), vol 12270, pp 97–110, Leiden, The Netherlands, 2020

Omar Abdelkafi, Bilel Derbel, Arnaud Liefooghe, Darrell Whitley. On the design of a partition crossover for the quadratic assignment problem. International Conference on Parallel Problem Solving from Nature (PPSN 2020), Lecture Notes in Computer Science (LNCS), vol 12269, pp 303–316, Leiden, The Netherlands, 2020

Arnaud Liefooghe, Sébastien Verel, Bilel Derbel, Hernán Aguirre, Kiyoshi Tanaka. Dominance, indicator and decomposition based search for multi-objective QAP: landscape analysis and automated algorithm selection. International Conference on Parallel Problem Solving from Nature (PPSN 2020), Lecture Notes in Computer Science (LNCS), vol 12269, pp 33–47, Leiden, The Netherlands, 2020

Alexandre Jesus, Arnaud Liefooghe, Bilel Derbel, Luís Paquete. Algorithm selection of anytime algorithms. Genetic and Evolutionary Computation Conference (GECCO 2020), pp 850–858, Cancún, Mexico, 2020

Xiaoran  Ruan, Ke  Li, Bilel Derbel, Arnaud Liefooghe. Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems. Genetic and Evolutionary Computation Conference (GECCO 2020), pp 560–568, Cancún, Mexico, 2020

Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang. Surrogate-assisted multi-objective combinatorial optimization based on decomposition and Walsh basis. Genetic and Evolutionary Computation Conference (GECCO 2020), pp 542–550, Cancún, Mexico, 2020

Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernan Aguirre, Qingfu Zhang, Kiyoshi Tanaka. Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. Genetic and Evolutionary Computation Conference (GECCO 2020), pp 462–470, Cancún, Mexico, 2020

Estefania Yap, Mario Munoz, Kate Smith-Miles, Arnaud Liefooghe. Instance space analysis of combinatorial multi-objective optimization problems. IEEE Congress on Evolutionary Computation (CEC 2020), pp 1–8, Glasgow, UK, 2020

Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang. On the combined impact of population size and sub-problem selection in MOEA/D. 20th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2020), Lecture Notes in Computer Science (LNCS), vol 12102, pp 131–147, Seville, Spain, 2020

🥉 Hugo Monzón, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Dynamic compartmental models for large multi-objective landscapes and performance estimation. 20th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2020), Lecture Notes in Computer Science (LNCS), vol 12102, pp 99–113, Seville, Spain, 2020 ✭ best paper nomination ✭

Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. New features for continuous exploratory landscape analysis based on the SOO tree. Workshop on Foundations of Genetic Algorithms (FOGA 2019), pp 72–86, Postdam, Germany, 2019

Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka. Surrogate-assisted multi-objective optimization based on decomposition: a comprehensive comparative analysis. Genetic and Evolutionary Computation Conference (GECCO 2019), pp 507–515, Prague, Czech Republic, 2019

Omar Abdelkafi, Bilel Derbel, Arnaud Liefooghe. A parallel tabu search for the large-scale quadratic assignment problem. IEEE Congress on Evolutionary Computation (CEC 2019), pp 3070–3077, Wellington, New Zealand, 2019

Taishi Ito, Hernán Aguirre, Kiyoshi Tanaka, Arnaud Liefooghe, Bilel Derbel, 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-Martínez, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, 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 ✭

Alexandre Jesus, Luís Paquete, Arnaud Liefooghe. A model of anytime algorithm performance for biobjective optimization problems. International Workshop on Global Optimization (LeGO 2018), AIP Conference Proceedings 2070, 020049, Leiden, The Netherlands, 2019

🥉 Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Manuel López-Ibáñez, Hernán Aguirre, Kiyoshi Tanaka. 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 ✭

Sébastien Verel, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, 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

Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Jianyong 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

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

Arnaud Liefooghe, Manuel López-Ibáñez, 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), pp 324–331, Kyoto, Japan, 2018

🥇 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 ✭

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

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

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

Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. Towards landscape-aware automatic algorithm configuration: preliminary experiments on neutral and rugged landscapes. 17th 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

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

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

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 1–7, Athens, Greece, 2016

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

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

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

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

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

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 783–790, Madrid, Spain, 2015

🥇 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 ✭ best paper award (ECOM track) ✭

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

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

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 [ sup ]

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

🥉 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 ✭ best paper nomination ✭

Manuel López-Ibáñez, 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

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 [ sup ]

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

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

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 1507–1514, Cancún, Mexico, 2013

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

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

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

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

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

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

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 ✭ best paper nomination ✭

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

🥇 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 ✭ best paper award ✭

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

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

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

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

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

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

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

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

🥇 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 ✭ Microsoft student grant ✭

🥇 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 ✭ Microsoft student grant ✭

Landscape-aware algorithm selection for multi-objective optimization — Invited talk, LISIC, Université du Littoral Côte d’Opale, France, September 2023

Visualizing and analyzing multi-objective landscapes — Invited talk, Yokohama National University, Japan, August 2023

Landscape analysis for local search and combinatorial optimization — Invited talk, Japanese-French Laboratory for Informatics, Japan, June 2023

Landscape analysis and feature-based automated algorithm selection for multi-objective optimization — Invited talk, Working group on Application and Theory of Multiobjective Optimization (ATOM, GdR RO) — Paris, France, November 2022

Fitness landscape analysis: Understanding and predicting algorithm performance for single- and multi-objective optimization — Tutorial, International Conference on Parallel Problem Solving from Nature (PPSN 2020), Leiden, The Netherlands, September 2020 (with Bilel Derbel and Sébastien Verel)

Multi-objective landscapes: Problem understanding, search prediction and algorithm selection — Invited talk, JFLI, Japan, June 2020

On the difficulty of evolutionary multi-objective optimization — Invited talk, University of Tokyo, Japan, February 2020

On the difficulty of multiobjective combinatorial optimization problems — Dagstuhl seminar 20031 on Scalability in Multiobjective Optimization, Dagstuhl, Germany, January 2020 (joint work with Fabio Daolio, Sébastien Verel, Bilel Derbel, Hernan Aguirre, Kiyoshi Tanaka, Manuel López-Ibáñez, and Luís Paquete)

An excursion in multi-objective optimization — 30 minutes de sciences, Inria Lille-Nord Europe, Lille, France, June 2019 (joint work with Fabio Daolio, Sébastien Verel, Bilel Derbel, Hernan Aguirre, and Kiyoshi Tanaka)

Pareto local optimal solutions networks — Invited talk, Working group on Application and Theory of Multiobjective Optimization (ATOM, GdR RO) — Lille, France, December 2018 (joint work with Bilel Derbel, Sébastien Verel, Manuel López-Ibáñez, Hernán Aguirre, and Kiyoshi Tanaka)

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)

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

Arnaud Liefooghe. Landscape analysis and heuristic search for multi-objective optimization. Habilitation à Diriger des Recherches, University of Lille, defended on June 15, 2022

Arnaud Liefooghe. Métaheuristiques pour l'optimisation multiobjectif: Approches coopératives, prise en compte de l'incertitude et application en logistique. PhD Thesis, Université Lille 1, defended on December 8, 2009

Arnaud Liefooghe. Optimisation multi-objectif sous incertitude : Application aux problèmes d'ordonnancement de type flow-shop. MSc Thesis, Université Lille 1, defended on June 16, 2006