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Johann Dreo
Expert Research Engineer, Institut Pasteur
11
Documents
Affiliations actuelles
- 300027
Identifiants chercheurs
- johann-dreo
- Arxiv : dreo_j_1
- 0000-0003-2727-9569
- Google Scholar : https://scholar.google.com/citations?user=7OHAAYcAAAAJ&hl=fr&oi=ao
- IdRef : 074703129
Publications
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Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of MetaheuristicsGECCO 2021 - Genetic and Evolutionary Computation Conference, ACM Sigevo, Jul 2021, Lille / Virtual, France. pp.1522-1530, ⟨10.1145/3449726.3463276⟩
Communication dans un congrès
pasteur-03220556v1
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Per instance algorithm configuration of CMA-ES with limited budgetGECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference , Jul 2017, Berlin, Germany. pp. 681-688
Communication dans un congrès
hal-01613753v1
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Surrogate Assisted Feature Computation for Continuous ProblemsLION 10 Learning and Intelligent OptimizatioN Conference, May 2016, Ischia, Italy. To appear
Communication dans un congrès
hal-01303320v2
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Feature Based Algorithm Configuration: A Case Study with Differential EvolutionParallel Problem Solving from Nature – PPSN XIV, Sep 2016, Edinburgh, France. pp.156-165, ⟨10.1007/978-3-319-45823-6_15⟩
Communication dans un congrès
hal-01359539v1
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Solving Large MultiZenoTravel Benchmarks with Divide-and-EvolveLearning and Intelligent OptimizatioN - LION 9, Jan 2015, Lille, France. pp.262-267
Communication dans un congrès
hal-01109776v1
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Parameter Setting for Multicore CMA-ES with Large PopulationsArtificial Evolution (EA 2015), Oct 2015, Lyon, France. pp.109-122
Communication dans un congrès
hal-01236025v1
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Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable BenchmarkEMO'13 - 7th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2013, Sheffield, United Kingdom. pp.36-50
Communication dans un congrès
hal-00750560v1
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Pareto-Based Multiobjective AI PlanningIJCAI 2013, IJCAI/AAAI, Aug 2013, Beijing, China. pp.2321-2327
Communication dans un congrès
hal-00835003v2
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Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal PlanningLION7 - Learning and Intelligent OptimizatioN Conference, Jan 2013, Catania, Italy. pp.341-356
Communication dans un congrès
hal-00820617v1
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Multi-Objective AI Planning: Comparing Aggregation and Pareto ApproachesEvoCOP -- 13th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2013, Vienna, Austria. pp.202-213, ⟨10.1007/978-3-642-37198-1_18⟩
Communication dans un congrès
hal-00820634v1
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MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front2023
Pré-publication, Document de travail
hal-04129698v1
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