Aymeric Blot
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Empirical Comparison of Search Heuristics for Genetic Improvement of SoftwareIEEE Transactions on Evolutionary Computation, 2021, 25 (5), pp.1001-1011. ⟨10.1109/TEVC.2021.3070271⟩
Article dans une revue
hal-04215694v1
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Genetic Improvement @ ICSE 2020Software Engineering Notes, 2020, 45 (4), pp.24-30. ⟨10.1145/3417564.3417575⟩
Article dans une revue
hal-04215682v1
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Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation ProblemsEvolutionary Computation, 2019, pp.1 - 24. ⟨10.1162/evco_a_00240⟩
Article dans une revue
hal-01927901v1
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Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisationJournal of Heuristics, 2018, ⟨10.1007/s10732-018-9381-1⟩
Article dans une revue
hal-01840111v1
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Genetic Improvement of LLVM Intermediate Representation26th European Conference on Genetic Programming (EuroGP), Apr 2023, Brno, Czech Republic. pp.244-259, ⟨10.1007/978-3-031-29573-7_16⟩
Communication dans un congrès
hal-04215737v1
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Genetically Improved Software with fewer Data Cache MissesGECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2023, Lisbon, Portugal. pp.799-802, ⟨10.1145/3583133.3590542⟩
Communication dans un congrès
hal-04215742v1
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Using Genetic Improvement to Optimise Optimisation Algorithm Implementations23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France
Communication dans un congrès
hal-03595447v1
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Evaluation of genetic improvement tools for improvement of non-functional properties of softwareGECCO '22: Genetic and Evolutionary Computation Conference, Feb 2022, Boston, United States. pp.1956-1965, ⟨10.1145/3520304.3534004⟩
Communication dans un congrès
hal-04215767v1
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Refining Fitness Functions for Search-Based Automated Program RepairSymposium on Search-Based Software Engineering, Oct 2021, Bari, Italy. pp.159-165, ⟨10.1007/978-3-030-88106-1_12⟩
Communication dans un congrès
hal-04215729v1
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Refining Fitness Functions for Search-Based Program Repair2021 IEEE/ACM International Workshop on Automated Program Repair (APR), Jun 2021, Madrid, Spain. pp.1-8, ⟨10.1109/APR52552.2021.00008⟩
Communication dans un congrès
hal-04215764v1
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Uniform Edit Selection for Genetic Improvement2021 IEEE/ACM International Workshop on Genetic Improvement (GI), May 2021, Madrid, Spain. pp.1-8, ⟨10.1109/GI52543.2021.00009⟩
Communication dans un congrès
hal-04215762v1
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Stack-Based Genetic ImprovementICSE '20: 42nd International Conference on Software Engineering, Jul 2020, Seoul, South Korea. pp.289-290, ⟨10.1145/3387940.3392174⟩
Communication dans un congrès
hal-04215758v1
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Comparing Genetic Programming Approaches for Non-Functional Genetic ImprovementEuropean Conference on Genetic Programming (EuroGP), Apr 2020, Seville, Spain. pp.68-83, ⟨10.1007/978-3-030-44094-7_5⟩
Communication dans un congrès
hal-04215722v1
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Synthetic Benchmarks for Genetic ImprovementICSE '20: 42nd International Conference on Software Engineering, Jul 2020, Seoul, South Korea. pp.287-288, ⟨10.1145/3387940.3392175⟩
Communication dans un congrès
hal-04215756v1
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Refining Fitness Functions in Test-Based Program RepairICSE '20: 42nd International Conference on Software Engineering, Jul 2020, Seoul, South Korea. pp.13-14, ⟨10.1145/3387940.3392180⟩
Communication dans un congrès
hal-04215760v1
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Fuzzy Edit Sequences in Genetic Improvement2019 IEEE/ACM International Workshop on Genetic Improvement (GI), May 2019, Montreal, Canada. pp.30-31, ⟨10.1109/GI.2019.00016⟩
Communication dans un congrès
hal-04215751v1
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PyGGI 2.0: language independent genetic improvement frameworkESEC/FSE '19: 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Aug 2019, Tallinn, Estonia. pp.1100-1104, ⟨10.1145/3338906.3341184⟩
Communication dans un congrès
hal-04215712v1
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A Dynamic Algorithm Framework to Automatically Design a Multi-Objective Local SearchROADEF 2019, Feb 2019, Le Havre, France
Communication dans un congrès
hal-02082123v1
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On adaptive specialisation in genetic improvementGECCO '19: Genetic and Evolutionary Computation Conference, Jul 2019, Prague Czech Republic, France. pp.1703-1704, ⟨10.1145/3319619.3326839⟩
Communication dans un congrès
hal-04215755v1
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Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop SchedulingEvolutionary Multi-Criterion Optimization, Mar 2019, Lansing, United States. pp.565-577
Communication dans un congrès
hal-02078581v1
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New Initialisation Techniques for Multi-objective Local SearchParallel Problem Solving from Nature - PPSN XV, Sep 2018, Coimbra, Portugal. ⟨10.1007/978-3-319-99253-2_26⟩
Communication dans un congrès
hal-01868414v1
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Automatic Configuration of Multi-objective Optimization Algorithms. Impact of Correlation between Objectives.30th International Conference on Tools with Artificial Intelligence, Oct 2018, Volos, Greece
Communication dans un congrès
hal-01928060v1
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Adaptive Multi-Objective Local Search Algorithms for the Permutation Flowshop Scheduling ProblemLearning and Intelligent Optimization Conference (LION 12), Jun 2018, Kalamata, Greece
Communication dans un congrès
hal-01868401v1
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AMH: a new Framework to Design Adaptive Metaheuristics12th Metaheuristics International Conference, Jul 2017, Barcelona, Spain
Communication dans un congrès
hal-01559687v1
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Automatically Configuring Multi-objective Local Search Using Multi-objective OptimisationEMO 2017 - 9th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2017, Münster, Germany. pp.61-73, ⟨10.1007/978-3-319-54157-0_5⟩
Communication dans un congrès
hal-01559690v1
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AMH: une plate-forme pour le design et le contrôle automatique de métaheuristiques multi-objectifROADEF2017: 18ème Conférence ROADEF de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2017, Metz, France
Communication dans un congrès
hal-01560444v1
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Automatic Design of Multi-Objective Local Search AlgorithmsGECCO 2017 - Genetic and Evolutionary Computation Conference, Jul 2017, Berlin, Germany. pp.227-234, ⟨10.1145/3071178.3071323⟩
Communication dans un congrès
hal-01569617v1
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MO-ParamILS: A Multi-objective Automatic Algorithm Configuration FrameworkLearning and Intelligent Optimization, May 2016, Ischia, Italy. pp.32-47, ⟨10.1007/978-3-319-50349-3_3⟩
Communication dans un congrès
hal-01370392v1
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MOParamILS : une plateforme multi-objectif pour la configuration automatique d'algorithmesROADEF2016: 17ème Conférence ROADEF de la société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2016, Compiègne, France
Communication dans un congrès
hal-01560467v1
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Neutral but a Winner! How Neutrality Helps Multiobjective Local Search AlgorithmsEvolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 -April 1, 2015. Proceedings, Part I, 2015, Guimarães, Portugal. pp.34--47, ⟨10.1007/978-3-319-15934-8_3⟩
Communication dans un congrès
hal-01216485v1
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Neutrality in the Graph Coloring ProblemLearning and Intelligent OptimizatioN Conference, Jan 2013, Catania, Italy. pp.125--130
Communication dans un congrès
hal-00919750v1
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Neutralité du problème de coloration de grapheROADEF 2013 : 14e congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2013, Troyes, France
Communication dans un congrès
hal-00840361v1
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Reacting and Adapting to the EnvironmentOperations Research [math.OC]. Université de Lille; CRIStAL UMR 9189, 2018. English. ⟨NNT : ⟩
Thèse
tel-01896272v1
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Neutrality in the Graph Coloring Problem[Research Report] RR-8215, INRIA. 2013, pp.15
Rapport
hal-00781001v1
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