Scaling Up Pareto Local Optimal Solutions Networks: Modelling Multi-objective Landscapes
Gabriela Ochoa, Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel. Scaling Up Pareto Local Optimal Solutions Networks: Modelling Multi-objective Landscapes. 17th International Conference on Evolutionary Computation Theory and Applications (ECTA), INSTICC : Institute for Systems and Technologies of Information, Control and Communication, Oct 2025, Marbella, Spain. ⟨hal-05215230⟩
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Local optima networks for constrained search spaces
Jonathan E. Fieldsend, Arnaud Liefooghe, Katherine M. Malan, Sébastien Verel. Local optima networks for constrained search spaces. GECCO 2025 – Genetic and Evolutionary Computation Conference, Jul 2025, Malaga, Spain. pp.204-212, ⟨10.1145/3712256.3726303⟩. ⟨hal-05022611⟩
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On stochastic operators, fitness landscapes, and optimization heuristics performances
Brahim Aboutaib, Sébastien Verel, Cyril Fonlupt, Bilel Derbel, Arnaud Liefooghe, et al.. On stochastic operators, fitness landscapes, and optimization heuristics performances. Evolutionary Computation, 2025, In Special Collection: CogNet, pp.1-26. ⟨10.1162/evco.a.24⟩. ⟨hal-05202575⟩
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LON/D — Sub-problem landscape analysis in decomposition-based multi-objective decomposition
Arnaud Liefooghe, Gabriela Ochoa, Sébastien Verel. LON/D — Sub-problem landscape analysis in decomposition-based multi-objective decomposition. EvoCOP 2025 - 25th European Conference on Evolutionary Computation in Combinatorial Optimization, Apr 2025, Trieste, Italy. pp.133-149, ⟨10.1007/978-3-031-86849-8_9⟩. ⟨hal-05012193⟩
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A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP
Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang. A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP. Expert Systems with Applications, 2025, 263, pp.125611. ⟨10.1016/j.eswa.2024.125611⟩. ⟨hal-04867290⟩
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PAES-25: Local search, archiving, and multi/many-objective pseudo-boolean functions
Joshua Knowles, Arnaud Liefooghe. PAES-25: Local search, archiving, and multi/many-objective pseudo-boolean functions. EMO 2025 – 13th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2025, Canberra, Australia, France. pp.60-73, ⟨10.1007/978-981-96-3506-1_5⟩. ⟨hal-04867338⟩
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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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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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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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