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Arnaud Liefooghe

PR

Equipe : OSMOSE

ORCID : 0000-0003-3283-3122

Domaine de recherche

  • Artificial intelligence
  • Local search, Evolutionary computation
  • Multi-objective optimization
  • Combinatorial, Pseudo-Boolean and Continuous optimization
  • Heterogeneous, Black-box, Expensive and Difficult problems
  • Benchmarking, Landscape analysis, Visualization and Explainability
  • Feature-based landscape-aware automated algorithm design, configuration and selection

Arnaud Liefooghe

Artificial Evolution, 15th International Conference, Evolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected Papers

Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, et al.. Artificial Evolution, 15th International Conference, Evolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected Papers. Springer Nature Switzerland, 14091, 2023, Lecture Notes in Computer Science, ISBN 978-3-031-42615-5. ⟨10.1007/978-3-031-42616-2⟩. ⟨hal-04194174⟩

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Many-objective (combinatorial) optimization is easy

Arnaud Liefooghe, Manuel López-Ibáñez. Many-objective (combinatorial) optimization is easy. GECCO 2023 - Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.704-712, ⟨10.1145/3583131.3590475⟩. ⟨hal-04169753⟩

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Pareto local optimal solutions networks with compression, enhanced visualization and expressiveness

Arnaud Liefooghe, Gabriela Ochoa, Sébastien Verel, Bilel Derbel. Pareto local optimal solutions networks with compression, enhanced visualization and expressiveness. GECCO 2023 - Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.713-721, ⟨10.1145/3583131.3590474⟩. ⟨hal-04169768⟩

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Adaptive landscape-aware constraint handling with application to binary knapsack problems

Arnaud Liefooghe, Katherine M. Malan. Adaptive landscape-aware constraint handling with application to binary knapsack problems. GECCO 2023 - Genetic and Evolutionary Computation Conference Companion, Jul 2023, Lisbon, Portugal. pp.2064-2071, ⟨10.1145/3583133.3596405⟩. ⟨hal-04169842⟩

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Applying Ising machines to multi-objective QUBOs

Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy. Applying Ising machines to multi-objective QUBOs. GECCO 2023 - Genetic and Evolutionary Computation Conference Companion, Jul 2023, Lisbon, Portugal. pp.2166-2174, ⟨10.1145/3583133.3596312⟩. ⟨hal-04169849⟩

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Decision/objective space trajectory networks for multi-objective combinatorial optimisation

Gabriela Ochoa, Arnaud Liefooghe, Yuri Lavinas, Claus Aranha. Decision/objective space trajectory networks for multi-objective combinatorial optimisation. EvoCOP 2023 - 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, Apr 2023, Brno, Czech Republic. pp.211-226, ⟨10.1007/978-3-031-30035-6_14⟩. ⟨hal-04054359⟩

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Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective

Arnaud Liefooghe, Sébastien Verel, Tinkle Chugh, Jonathan Fieldsend, Richard Allmendinger, et al.. Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective. EMO 2023 - 12th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2023, Leiden, Netherlands. pp.260-273, ⟨10.1007/978-3-031-27250-9_19⟩. ⟨hal-04021499⟩

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Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions

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, 2023, 136, pp.110061. ⟨10.1016/j.asoc.2023.110061⟩. ⟨hal-04073811⟩

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Moead-framework: a modular MOEA/D Python framework

Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe. Moead-framework: a modular MOEA/D Python framework. Journal of Open Source Software, 2022, 7 (78), pp.2974. ⟨10.21105/joss.02974⟩. ⟨hal-03818749⟩

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Boomerang-shaped neural embeddings for NK landscapes

Roberto Santana, Arnaud Liefooghe, Bilel Derbel. Boomerang-shaped neural embeddings for NK landscapes. GECCO 2022 - Genetic and Evolutionary Computation Conference, Jul 2022, Boston, MA, United States. pp.858-866, ⟨10.1145/3512290.3528856⟩. ⟨hal-03693668⟩

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Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis

Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, et al.. Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. GECCO 2022 - Genetic and Evolutionary Computation Conference, Jul 2022, Boston, MA, United States. pp.493-501, ⟨10.1145/3512290.3528731⟩. ⟨hal-03693659⟩

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Landscape analysis and heuristic search for multi-objective optimization

Arnaud Liefooghe. Landscape analysis and heuristic search for multi-objective optimization. Computer Science [cs]. Université de Lille, 2022. ⟨tel-03758552⟩

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Multi-objective NK landscapes with heterogeneous objectives

Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe. Multi-objective NK landscapes with heterogeneous objectives. GECCO 2022 - Genetic and Evolutionary Computation Conference, 2022, Boston, MA, United States. pp.502-510, ⟨10.1145/3512290.3528858⟩. ⟨hal-03693674⟩

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What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization

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 and Operations Research, 2022, 145, pp.105857. ⟨10.1016/j.cor.2022.105857⟩. ⟨hal-03693650⟩

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A Modular Surrogate-assisted Framework for Expensive Multiobjective Combinatorial Optimization

Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang. A Modular Surrogate-assisted Framework for Expensive Multiobjective Combinatorial Optimization. 2021. ⟨hal-03380316⟩

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Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems

Arnaud Liefooghe, Sébastien Verel, Benjamin Lacroix, Alexandru-Ciprian Zăvoianu, John Mccall. Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. GECCO 2021 - The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France. pp.421-429, ⟨10.1145/3449639.3459353⟩. ⟨hal-03325676⟩

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Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics

Johann Dreo, Arnaud Liefooghe, Sébastien Verel, Marc Schoenauer, Juan J. Merelo, et al.. Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics: 22 Years of Paradiseo. GECCO 2021 - Genetic and Evolutionary Computation Conference, ACM Sigevo, Jul 2021, Lille / Virtual, France. pp.1522-1530, ⟨10.1145/3449726.3463276⟩. ⟨pasteur-03220556⟩

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On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimization

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. GECCO 2021 - The Genetic and Evolutionary Computation Conference, Jul 2021, Lille, France. pp.234-242, ⟨10.1145/3449639.3459360⟩. ⟨hal-03331971⟩

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Decomposition-based multi-objective landscape features and automated algorithm selection

Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka, et al.. Decomposition-based multi-objective landscape features and automated algorithm selection. EvoCOP 2021 - 21st European Conference on Evolutionary Computation in Combinatorial Optimization, 2021, Virtual Event, Spain. pp.34-50, ⟨10.1007/978-3-030-72904-2_3⟩. ⟨hal-03331977⟩

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A model of anytime algorithm performance for bi-objective optimization

Alexandre Borges de Jesus, Luis Paquete, Arnaud Liefooghe. A model of anytime algorithm performance for bi-objective optimization. Journal of Global Optimization, 2021, 79, pp.329-350. ⟨10.1007/s10898-020-00909-9⟩. ⟨hal-02898963⟩

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Landscape-aware performance prediction for evolutionary multi-objective optimization

Arnaud Liefooghe, Fabio Daolio, Sébastien Verel, Bilel Derbel, Hernan Aguirre, et al.. Landscape-aware performance prediction for evolutionary multi-objective optimization. IEEE Transactions on Evolutionary Computation, 2020, 24 (6), pp.1063-1077. ⟨10.1109/TEVC.2019.2940828⟩. ⟨hal-02294201⟩

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An ensemble indicator-based density estimator for evolutionary multi-objective optimization

Jesús Guillermo Falcón-Cardona, Arnaud Liefooghe, Carlos A. Coello Coello. An ensemble indicator-based density estimator for evolutionary multi-objective optimization. PPSN 2020 - Sixteenth International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. pp.201-214, ⟨10.1007/978-3-030-58115-2_14⟩. ⟨hal-02920075⟩

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On the Design of a Partition Crossover for the Quadratic Assignment Problem

Omar Abdelkafi, Bilel Derbel, Arnaud Liefooghe, Darrell Whitley. On the Design of a Partition Crossover for the Quadratic Assignment Problem. PPSN 2020 - 16th International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. pp.303-316, ⟨10.1007/978-3-030-58112-1_21⟩. ⟨hal-02921919⟩

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Dominance, indicator and decomposition based search for multi-objective QAP: landscape analysis and automated algorithm selection

Arnaud Liefooghe, Sébastien Verel, Bilel Derbel, Hernan Aguirre, Kiyoshi Tanaka. Dominance, indicator and decomposition based search for multi-objective QAP: landscape analysis and automated algorithm selection. PPSN 2020 - Sixteenth International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. pp.33-47, ⟨10.1007/978-3-030-58112-1_3⟩. ⟨hal-02920085⟩

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On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators

Brahim Aboutaib, Sébastien Verel, Cyril Fonlupt, Bilel Derbel, Arnaud Liefooghe, et al.. On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators. PPSN 2020 - The 16th International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. pp.97-110, ⟨10.1007/978-3-030-58115-2_7⟩. ⟨hal-02949069⟩

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Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition

Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Qingfu Zhang, et al.. Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. GECCO 2020 - The Genetic and Evolutionary Computation Conference, Jul 2020, Cancún (on line), Mexico. pp.462-470, ⟨10.1145/3377930.3390202⟩. ⟨hal-02949064⟩

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Algorithm selection of anytime algorithms

Alexandre Borges de Jesus, Arnaud Liefooghe, Bilel Derbel, Luis Paquete. Algorithm selection of anytime algorithms. GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Jul 2020, Cancún, Mexico. pp.850-858, ⟨10.1145/3377930.3390185⟩. ⟨hal-02898962⟩

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Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems

Xiaoran Ruan, Ke Li, Bilel Derbel, Arnaud Liefooghe. Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems. GECCO 2020 - Genetic and Evolutionary Computation Conference, Jul 2020, Cancún, Mexico. pp.560-568, ⟨10.1145/3377930.3390191⟩. ⟨hal-02932303⟩

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Surrogate-assisted Multi-objective Combinatorial Optimization based on Decomposition and Walsh Basis

Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang. Surrogate-assisted Multi-objective Combinatorial Optimization based on Decomposition and Walsh Basis. GECCO '20 - Genetic and Evolutionary Computation Conference, Jul 2020, Cancun, Mexico. ⟨10.1145/3377930.3390149⟩. ⟨hal-02898952⟩

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On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D

Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang. On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. EvoCOP 2020 - 20st European Conference on Evolutionary Computation in Combinatorial Optimization, Apr 2020, Seville, Spain. ⟨10.1007/978-3-030-43680-3_9⟩. ⟨hal-02540291⟩

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