On bi-objective combinatorial optimization with heterogeneous objectives
Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe. On bi-objective combinatorial optimization with heterogeneous objectives. European Journal of Operational Research, 2024, 319 (1), pp.89-101. ⟨10.1016/j.ejor.2024.06.029⟩. ⟨hal-04692894⟩
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Contrasting the landscapes of feature selection under different machine learning models
Arnaud Liefooghe, Ryoji Tanabe, Sébastien Verel. Contrasting the landscapes of feature selection under different machine learning models. PPSN 2024 – Parallel Problem Solving from Nature, Sep 2024, Hagenberg, Austria. pp.360-376, ⟨10.1007/978-3-031-70055-2_22⟩. ⟨hal-04692860⟩
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Funnels in multi-objective fitness landscapes
Gabriela Ochoa, Arnaud Liefooghe, Sébastien Verel. Funnels in multi-objective fitness landscapes. PPSN 2024 – Parallel Problem Solving from Nature, Sep 2024, Hagenberg, Austria. pp.343-359, ⟨10.1007/978-3-031-70055-2_21⟩. ⟨hal-04692819⟩
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Approximating Pareto local optimal solution networks
Shoichiro Tanaka, Gabriela Ochoa, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato. Approximating Pareto local optimal solution networks. GECCO 2024 – Genetic and Evolutionary Computation Conference, Jul 2024, Melbourne, Australia. pp.603-611, ⟨10.1145/3638529.3653999⟩. ⟨hal-04692950⟩
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On the effects of smoothing rugged landscape by different toy problems: A case study on UBQP
Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, et al.. On the effects of smoothing rugged landscape by different toy problems: A case study on UBQP. CEC 2024 – IEEE Congress on Evolutionary Computation, Jun 2024, Yokohama, Japan. pp.1-8, ⟨10.1109/CEC60901.2024.10612165⟩. ⟨hal-04692908⟩
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Designing helper objectives in multi-objectivization
Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato. Designing helper objectives in multi-objectivization. CEC 2024 – IEEE Congress on Evolutionary Computation, Jun 2024, Yokohama, Japan. pp.1-8, ⟨10.1109/CEC60901.2024.10612125⟩. ⟨hal-04692939⟩
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Landscape analysis for explainable optimization
Arnaud Liefooghe, Sébastien Verel. Landscape analysis for explainable optimization. Tutorial at IEEE World Congress on Computational Intelligence (WCCI 2024), 2024. ⟨hal-04692793⟩
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MOW-P: A simple yet efficient partial neighborhood walk for multiobjective optimization
Matthieu Basseur, Arnaud Liefooghe, Sara Tari. MOW-P: A simple yet efficient partial neighborhood walk for multiobjective optimization. CEC 2024 – IEEE Congress on Evolutionary Computation, Jun 2024, Yokohama, Japan. pp.1-8, ⟨10.1109/CEC60901.2024.10611767⟩. ⟨hal-04692916⟩
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Excursion en optimisation multi-objectifs – heuristiques et paysages de recherche
Arnaud Liefooghe. Excursion en optimisation multi-objectifs – heuristiques et paysages de recherche. 2024, pp.95-107. ⟨10.48556/SIF.1024.23.95⟩. ⟨hal-04692962⟩
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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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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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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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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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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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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. 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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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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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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