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ORCIDJohann Dréo
Person information
- affiliation: Institut Pasteur, Paris, France
- affiliation: Thales Research and Technology, Palaiseau, France
- affiliation (PhD): Paris-East Créteil University (UPEC), France
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2020 – today
- 2023
[c27]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: 3166-3173- [i10]Alexandre Quemy, Marc Schoenauer, Johann Dréo:
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front. CoRR abs/2304.14659 (2023) - 2022
- [c26]Claire Laudy, Simon Fossier, Johann Dréo:
Tackling Threatening behavior through a Semantic Approach. FUSION 2022: 1-8 - [c25]Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr:
Automated algorithm selection for radar network configuration. GECCO 2022: 1263-1271 - [i9]Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr:
Automated Algorithm Selection for Radar Network Configuration. CoRR abs/2205.03670 (2022) - 2021
- [c24]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. EvoApplications 2021: 17-33 - [c23]Amine Aziz-Alaoui, Carola Doerr, Johann Dréo:
Towards large scale automated algorithm design by integrating modular benchmarking frameworks. GECCO Companion 2021: 1365-1374 - [c22]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: 1522-1530 - [d2]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Exploratory Landscape Analysis Feature Values for the 24 Noiseless BBOB Functions. Zenodo, 2021
- [i8]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. CoRR abs/2102.00736 (2021) - [i7]Amine Aziz-Alaoui, Carola Doerr, Johann Dréo:
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks. CoRR abs/2102.06435 (2021) - [i6]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 abs/2105.00420 (2021) - [i5]Johann Dréo, Manuel López-Ibáñez:
Extensible Logging and Empirical Attainment Function for IOHexperimenter. CoRR abs/2109.13773 (2021) - 2020
- [c21]Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr:
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. PPSN (2) 2020: 139-153 - [d1]Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr:
Experimental Data Set for the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy". Zenodo, 2020 - [i4]Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr:
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. CoRR abs/2006.11135 (2020)
2010 – 2019
- 2019
- [c20]Johann Dréo, Carola Doerr, Yann Semet:
Coupling the design of benchmark with algorithm in landscape-aware solver design. GECCO (Companion) 2019: 1419-1420 - [c19]Carola Doerr, Johann Dréo, Pascal Kerschke:
Making a case for (Hyper-)parameter tuning as benchmark problems. GECCO (Companion) 2019: 1755-1764 - [c18]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Expressiveness and robustness of landscape features. GECCO (Companion) 2019: 2048-2051 - 2017
- [c17]Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Per instance algorithm configuration of CMA-ES with limited budget. GECCO 2017: 681-688 - [c16]Jean-Marie Mirebeau, Johann Dréo:
Automatic Differentiation of Non-holonomic Fast Marching for Computing Most Threatening Trajectories Under Sensors Surveillance. GSI 2017: 791-800 - 2016
- [c15]Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Surrogate Assisted Feature Computation for Continuous Problems. LION 2016: 17-31 - [c14]Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Feature Based Algorithm Configuration: A Case Study with Differential Evolution. PPSN 2016: 156-166 - 2015
- [j7]Thomas Sousselier, Johann Dréo, Marc Sevaux:
Line formation algorithm in a swarm of reactive robots constrained by underwater environment. Expert Syst. Appl. 42(12): 5117-5127 (2015) - [c13]Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Parameter Setting for Multicore CMA-ES with Large Populations. Artificial Evolution 2015: 109-122 - [c12]Alexandre Quemy, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve. LION 2015: 262-267 - 2014
- [c11]Claire Laudy, Johann Dréo, Christophe Gouguenheim:
Applying MapReduce principle to high level information fusion. FUSION 2014: 1-8 - 2013
- [c10]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark. EMO 2013: 36-50 - [c9]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches. EvoCOP 2013: 202-213 - [c8]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Pareto-Based Multiobjective AI Planning. IJCAI 2013: 2321-2327 - [c7]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning. LION 2013: 341-356 - [i3]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches. CoRR abs/1305.1169 (2013) - [i2]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning. CoRR abs/1305.2265 (2013) - 2012
- [c6]Thomas Sousselier, Johann Dréo, Jean-Philippe Brunet:
Line formation algorithm in a self-organized swarm of micro-underwater unmanned vehicles. ROBIO 2012: 520-525 - [i1]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark. CoRR abs/1212.5276 (2012) - 2011
- [c5]Caner Candan, Johann Dréo, Pierre Savéant, Vincent Vidal:
Parallel divide-and-evolve: experiments with OpenMP on a multicore machine. GECCO 2011: 1571-1578
2000 – 2009
- 2009
- [c4]Johann Dréo:
Using performance fronts for parameter setting of stochastic metaheuristics. GECCO (Companion) 2009: 2197-2200 - 2007
- [j6]Johann Dréo, Patrick Siarry:
Hybrid Continuous Interacting Ant Colony aimed at Enhanced Global Optimization. Algorithmic Oper. Res. 2(1): 52-64 (2007) - [j5]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): 483-505 (2007) - [c3]Mehdi Lamiri, Johann Dréo, Xiaolan Xie:
Operating Room Planning with Random Surgery Times. CASE 2007: 521-526 - 2006
- [j4]Johann Dréo, Patrick Siarry:
An ant colony algorithm aimed at dynamic continuous optimization. Appl. Math. Comput. 181(1): 457-467 (2006) - [j3]Johann Dréo, Jean Claude Nunes, Patrick Siarry:
Robust rigid registration of retinal angiograms through optimization. Comput. Medical Imaging Graph. 30(8): 453-463 (2006) - [j2]Johann Dréo, Patrick Siarry:
Métaheuristiques pour l'optimisation et auto-organisation dans les systèmes biologiques. Tech. Sci. Informatiques 25(2): 221-240 (2006) - 2004
- [j1]Johann Dréo, Patrick Siarry:
Continuous interacting ant colony algorithm based on dense heterarchy. Future Gener. Comput. Syst. 20(5): 841-856 (2004) - [c2]Johann Dréo, Patrick Siarry:
Dynamic Optimization Through Continuous Interacting Ant Colony. ANTS Workshop 2004: 422-423 - 2003
- [b1]Johann Dréo:
Adaptation de la métaheuristique des colonies de fourmis pour l'optimisation difficile en variables continues. Application en génie biologique et médical. (Adaptation of the ant colony metaheuristic to hard optimization with continuous variables. Application in biologic and medical engineering). Paris 12 Val de Marne University, Créteil, France, 2003 - 2002
- [c1]Johann Dréo, Patrick Siarry:
A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions. Ant Algorithms 2002: 216-221
Coauthor Index
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