Johann Dréo

51 papers A* 1A 4B 3C 5Journal 19Unranked 18
YearRankTypeTitle / Venue / Authors
2025 — conf
Analyzing Single-objective Black-box Optimization Algorithms Using the Empirical Attainment Function.
GECCO Companion
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
2025 C conf
First High-Level Information Fusion Competition: Feedback and Lessons Learned.
FUSION
Claire Laudy, Victoria Alonso, Céline Reverdy, Johann Dréo
2025 J jnl
Using the Empirical Attainment Function for Analyzing Single-Objective Black-Box Optimization Algorithms.
IEEE Trans. Evol. Comput.
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
2024 — conf
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem.
GECCO Companion
Quentin Renau, Johann Dréo, Emma Hart
2024 C conf
Reproducible Mapping of Tabular Data into Semantic Knowledge Graphs with OntoWeaver and BioCypher.
FUSION
Johann Dréo, Claire Laudy, Sebastian Lobentanzer, Marko Baric, Ekaterina Gaydukova, Benno Schwikowski
2024 J jnl
Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms.
CoRR
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
2023 B conf
Interplay of Human and AI Solvers on a Planning Problem.
SMC
Afshin Ameri Ekhtiarabadi, Branko Miloradovic, Baran Çürüklü, Alessandro V. Papadopoulos, Mikael Ekström, Johann Dréo
2023 J jnl
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front.
CoRR
Alexandre Quemy, Marc Schoenauer, Johann Dréo
2022 J jnl
Automated Algorithm Selection for Radar Network Configuration.
CoRR
Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
2022 A conf
Automated algorithm selection for radar network configuration.
GECCO
Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
2022 C conf
Tackling Threatening behavior through a Semantic Approach.
FUSION
Claire Laudy, Simon Fossier, Johann Dréo
2021 J jnl
Extensible Logging and Empirical Attainment Function for IOHexperimenter.
CoRR
Johann Dréo, Manuel López-Ibáñez
2021 J jnl
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics - 22 Years of Paradiseo -.
CoRR
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
2021 — conf
Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo.
GECCO Companion
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
2021 B conf
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.
EvoApplications
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
2021 J jnl
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.
CoRR
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
2021 J jnl
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks.
CoRR
Amine Aziz-Alaoui, Carola Doerr, Johann Dréo
2021 — conf
Towards large scale automated algorithm design by integrating modular benchmarking frameworks.
GECCO Companion
Amine Aziz-Alaoui, Carola Doerr, Johann Dréo
2020 — conf
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy.
PPSN (2)
Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr
2020 J jnl
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy.
CoRR
Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr
2019 — conf
Coupling the design of benchmark with algorithm in landscape-aware solver design.
GECCO (Companion)
Johann Dréo, Carola Doerr, Yann Semet
2019 — conf
Expressiveness and robustness of landscape features.
GECCO (Companion)
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
2019 — conf
Making a case for (Hyper-)parameter tuning as benchmark problems.
GECCO (Companion)
Carola Doerr, Johann Dréo, Pascal Kerschke
2017 — conf
Automatic Differentiation of Non-holonomic Fast Marching for Computing Most Threatening Trajectories Under Sensors Surveillance.
GSI
Jean-Marie Mirebeau, Johann Dréo
2017 A conf
Per instance algorithm configuration of CMA-ES with limited budget.
GECCO
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
2016 A conf
Feature Based Algorithm Configuration: A Case Study with Differential Evolution.
PPSN
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
2016 — conf
Surrogate Assisted Feature Computation for Continuous Problems.
LION
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
2015 J jnl
Line formation algorithm in a swarm of reactive robots constrained by underwater environment.
Expert Syst. Appl.
Thomas Sousselier, Johann Dréo, Marc Sevaux
2015 — conf
Parameter Setting for Multicore CMA-ES with Large Populations.
Artificial Evolution
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
2015 — conf
Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve.
LION
Alexandre Quemy, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
2014 C conf
Applying MapReduce principle to high level information fusion.
FUSION
Claire Laudy, Johann Dréo, Christophe Gouguenheim
2013 J jnl
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
CoRR
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
2013 B conf
Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches.
EvoCOP
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
2013 C conf
Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark.
EMO
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
2013 A* conf
Pareto-Based Multiobjective AI Planning.
IJCAI
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
2013 J jnl
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
CoRR
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
2013 — conf
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning.
LION
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
2012 — conf
Line formation algorithm in a self-organized swarm of micro-underwater unmanned vehicles.
ROBIO
Thomas Sousselier, Johann Dréo, Jean-Philippe Brunet
2012 J jnl
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
CoRR
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
2011 A conf
Parallel divide-and-evolve: experiments with OpenMP on a multicore machine.
GECCO
Caner Candan, Johann Dréo, Pierre Savéant, Vincent Vidal
2009 — conf
Using performance fronts for parameter setting of stochastic metaheuristics.
GECCO (Companion)
Johann Dréo
2007 J jnl
Adaptive Learning Search, a New Tool to Help Comprehending Metaheuristics.
Int. J. Artif. Intell. Tools
Johann Dréo, Jean-Philippe Aumasson, Walid Tfaili, Patrick Siarry
2007 J jnl
Hybrid Continuous Interacting Ant Colony aimed at Enhanced Global Optimization.
Algorithmic Oper. Res.
Johann Dréo, Patrick Siarry
2007 — conf
Operating Room Planning with Random Surgery Times.
CASE
Mehdi Lamiri, Johann Dréo, Xiaolan Xie
2006 J jnl
An ant colony algorithm aimed at dynamic continuous optimization.
Appl. Math. Comput.
Johann Dréo, Patrick Siarry
2006 J jnl
Métaheuristiques pour l'optimisation et auto-organisation dans les systèmes biologiques.
Tech. Sci. Informatiques
Johann Dréo, Patrick Siarry
2006 J jnl
Robust rigid registration of retinal angiograms through optimization.
Comput. Medical Imaging Graph.
Johann Dréo, Jean Claude Nunes, Patrick Siarry
2004 J jnl
Continuous interacting ant colony algorithm based on dense heterarchy.
Future Gener. Comput. Syst.
Johann Dréo, Patrick Siarry
2004 — conf
Dynamic Optimization Through Continuous Interacting Ant Colony.
ANTS Workshop
Johann Dréo, Patrick Siarry
2003 — —
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).
Johann Dréo
2002 — conf
A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions.
Ant Algorithms
Johann Dréo, Patrick Siarry