Johann Dréo

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 23

Top Venues

Paris 12 Val de Marne University, Créteil, France (PHD)

Education History

Paris 12 Val de Marne University, Créteil, France

PHD

Publications

Quentin Renau, Johann Dréo, Emma Hart
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. GECCO Companion (2024)
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms. CoRR (2024)
Afshin Ameri Ekhtiarabadi, Branko Miloradovic, Baran Çürüklü, Alessandro V. Papadopoulos, Mikael Ekström, Johann Dréo
Interplay of Human and AI Solvers on a Planning Problem. SMC (2023)
Alexandre Quemy, Marc Schoenauer, Johann Dréo
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front. CoRR (2023)
Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
Automated algorithm selection for radar network configuration. GECCO (2022)
Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
Automated Algorithm Selection for Radar Network Configuration. CoRR (2022)
Claire Laudy, Simon Fossier, Johann Dréo
Tackling Threatening behavior through a Semantic Approach. FUSION (2022)
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics - 22 Years of Paradiseo -. CoRR (2021)
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. CoRR (2021)
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. EvoApplications (2021)
Amine Aziz-Alaoui, Carola Doerr, Johann Dréo
Towards large scale automated algorithm design by integrating modular benchmarking frameworks. GECCO Companion (2021)
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo. GECCO Companion (2021)
Amine Aziz-Alaoui, Carola Doerr, Johann Dréo
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks. CoRR (2021)
Johann Dréo, Manuel López-Ibáñez
Extensible Logging and Empirical Attainment Function for IOHexperimenter. CoRR (2021)
Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. CoRR (2020)
Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. PPSN (2) (2020)
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
Expressiveness and robustness of landscape features. GECCO (Companion) (2019)
Johann Dréo, Carola Doerr, Yann Semet
Coupling the design of benchmark with algorithm in landscape-aware solver design. GECCO (Companion) (2019)
Carola Doerr, Johann Dréo, Pascal Kerschke
Making a case for (Hyper-)parameter tuning as benchmark problems. GECCO (Companion) (2019)
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Per instance algorithm configuration of CMA-ES with limited budget. GECCO (2017)
Jean-Marie Mirebeau, Johann Dréo
Automatic Differentiation of Non-holonomic Fast Marching for Computing Most Threatening Trajectories Under Sensors Surveillance. GSI (2017)
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Surrogate Assisted Feature Computation for Continuous Problems. LION (2016)
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Feature Based Algorithm Configuration: A Case Study with Differential Evolution. PPSN (2016)
Alexandre Quemy, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve. LION (2015)
Thomas Sousselier, Johann Dréo, Marc Sevaux
Line formation algorithm in a swarm of reactive robots constrained by underwater environment. Expert Syst. Appl. 42 (12) (2015)
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Parameter Setting for Multicore CMA-ES with Large Populations. Artificial Evolution (2015)
Claire Laudy, Johann Dréo, Christophe Gouguenheim
Applying MapReduce principle to high level information fusion. FUSION (2014)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches. EvoCOP (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark. EMO (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches CoRR (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Pareto-Based Multiobjective AI Planning. IJCAI (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning. LION (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning CoRR (2013)
Thomas Sousselier, Johann Dréo, Jean-Philippe Brunet
Line formation algorithm in a self-organized swarm of micro-underwater unmanned vehicles. ROBIO (2012)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark CoRR (2012)
Caner Candan, Johann Dréo, Pierre Savéant, Vincent Vidal
Parallel divide-and-evolve: experiments with OpenMP on a multicore machine. GECCO (2011)
Johann Dréo
Using performance fronts for parameter setting of stochastic metaheuristics. GECCO (Companion) (2009)
Johann Dréo, Patrick Siarry
Hybrid Continuous Interacting Ant Colony aimed at Enhanced Global Optimization. Algorithmic Oper. Res. 2 (1) (2007)
Johann Dréo, Jean-Philippe Aumasson, Walid Tfaili, Patrick Siarry
Adaptive Learning Search, a New Tool to Help Comprehending Metaheuristics. Int. J. Artif. Intell. Tools 16 (3) (2007)
Mehdi Lamiri, Johann Dréo, Xiaolan Xie
Operating Room Planning with Random Surgery Times. CASE (2007)
Johann Dréo, Jean Claude Nunes, Patrick Siarry
Robust rigid registration of retinal angiograms through optimization. Comput. Medical Imaging Graph. 30 (8) (2006)
Johann Dréo, Patrick Siarry
An ant colony algorithm aimed at dynamic continuous optimization. Appl. Math. Comput. 181 (1) (2006)
Johann Dréo, Patrick Siarry
Métaheuristiques pour l'optimisation et auto-organisation dans les systèmes biologiques. Tech. Sci. Informatiques 25 (2) (2006)
Johann Dréo, Patrick Siarry
Dynamic Optimization Through Continuous Interacting Ant Colony. ANTS Workshop (2004)
Johann Dréo, Patrick Siarry
Continuous interacting ant colony algorithm based on dense heterarchy. Future Gener. Comput. Syst. 20 (5) (2004)
Johann Dréo, Patrick Siarry
A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions. Ant Algorithms (2002)

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Publication Activity (10 Years)

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Johann Dréo