A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions. - Johann Dréo; Patrick Siarry (Ant Algorithms, 2002)

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 (2003)

Dynamic Optimization Through Continuous Interacting Ant Colony. - Johann Dréo; Patrick Siarry (ANTS Workshop, 2004)

Continuous interacting ant colony algorithm based on dense heterarchy. - Johann Dréo; Patrick Siarry (Future Gener. Comput. Syst., 2004)

An ant colony algorithm aimed at dynamic continuous optimization. - Johann Dréo; Patrick Siarry (Appl. Math. Comput., 2006)

Robust rigid registration of retinal angiograms through optimization. - Johann Dréo; Jean Claude Nunes; Patrick Siarry (Comput. Medical Imaging Graph., 2006)

Métaheuristiques pour l'optimisation et auto-organisation dans les systèmes biologiques. - Johann Dréo; Patrick Siarry (Tech. Sci. Informatiques, 2006)

Operating Room Planning with Random Surgery Times. - Mehdi Lamiri; Johann Dréo; Xiaolan Xie (CASE, 2007)

Hybrid Continuous Interacting Ant Colony aimed at Enhanced Global Optimization. - Johann Dréo; Patrick Siarry (Algorithmic Oper. Res., 2007)

Adaptive Learning Search, a New Tool to Help Comprehending Metaheuristics. - Johann Dréo; Jean-Philippe Aumasson; Walid Tfaili; Patrick Siarry (Int. J. Artif. Intell. Tools, 2007)

Using performance fronts for parameter setting of stochastic metaheuristics. - Johann Dréo (GECCO (Companion), 2009)

Parallel divide-and-evolve: experiments with OpenMP on a multicore machine. - Caner Candan; Johann Dréo; Pierre Savéant; Vincent Vidal 001 (GECCO, 2011)

Line formation algorithm in a self-organized swarm of micro-underwater unmanned vehicles. - Thomas Sousselier; Johann Dréo; Jean-Philippe Brunet (ROBIO, 2012)

Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark. - Mostepha Redouane Khouadjia; Marc Schoenauer; Vincent Vidal 001; Johann Dréo; Pierre Savéant (EMO, 2013)

Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches. - Mostepha Redouane Khouadjia; Marc Schoenauer; Vincent Vidal 001; Johann Dréo; Pierre Savéant (EvoCOP, 2013)

Pareto-Based Multiobjective AI Planning. - Mostepha Redouane Khouadjia; Marc Schoenauer; Vincent Vidal 001; Johann Dréo; Pierre Savéant (IJCAI, 2013)

Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning. - Mostepha Redouane Khouadjia; Marc Schoenauer; Vincent Vidal 001; Johann Dréo; Pierre Savéant (LION, 2013)

Applying MapReduce principle to high level information fusion. - Claire Laudy; Johann Dréo; Christophe Gouguenheim (FUSION, 2014)

Parameter Setting for Multicore CMA-ES with Large Populations. - Nacim Belkhir; Johann Dréo; Pierre Savéant; Marc Schoenauer (Artificial Evolution, 2015)

Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve. - Alexandre Quemy; Marc Schoenauer; Vincent Vidal 001; Johann Dréo; Pierre Savéant (LION, 2015)

Line formation algorithm in a swarm of reactive robots constrained by underwater environment. - Thomas Sousselier; Johann Dréo; Marc Sevaux (Expert Syst. Appl., 2015)

Surrogate Assisted Feature Computation for Continuous Problems. - Nacim Belkhir; Johann Dréo; Pierre Savéant; Marc Schoenauer (LION, 2016)

Feature Based Algorithm Configuration: A Case Study with Differential Evolution. - Nacim Belkhir; Johann Dréo; Pierre Savéant; Marc Schoenauer (PPSN, 2016)

Per instance algorithm configuration of CMA-ES with limited budget. - Nacim Belkhir; Johann Dréo; Pierre Savéant; Marc Schoenauer (GECCO, 2017)

Automatic Differentiation of Non-holonomic Fast Marching for Computing Most Threatening Trajectories Under Sensors Surveillance. - Jean-Marie Mirebeau; Johann Dréo (GSI, 2017)

Making a case for (Hyper-)parameter tuning as benchmark problems. - Carola Doerr; Johann Dréo; Pascal Kerschke (GECCO (Companion), 2019)

Coupling the design of benchmark with algorithm in landscape-aware solver design. - Johann Dréo; Carola Doerr; Yann Semet (GECCO (Companion), 2019)

Expressiveness and robustness of landscape features. - Quentin Renau; Johann Dréo; Carola Doerr; Benjamin Doerr (GECCO (Companion), 2019)

Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. - Quentin Renau; Carola Doerr; Johann Dréo; Benjamin Doerr (PPSN (2), 2020)

Experimental Data Set for the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy". - Quentin Renau; Carola Doerr; Johann Dréo; Benjamin Doerr (Zenodo, 2020)

Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. - Quentin Renau; Johann Dréo; Carola Doerr; Benjamin Doerr (EvoApplications, 2021)

Towards large scale automated algorithm design by integrating modular benchmarking frameworks. - Amine Aziz-Alaoui; Carola Doerr; Johann Dréo (GECCO Companion, 2021)

Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo. - Johann Dréo; Arnaud Liefooghe; Sébastien Vérel; Marc Schoenauer; Juan Julián Merelo Guervós; Alexandre Quemy; Benjamin Bouvier; Jan Gmys (GECCO Companion, 2021)

Extensible Logging and Empirical Attainment Function for IOHexperimenter. - Johann Dréo; Manuel López-Ibáñez 001 (CoRR, 2021)

Exploratory Landscape Analysis Feature Values for the 24 Noiseless BBOB Functions. - Quentin Renau; Johann Dréo; Carola Doerr; Benjamin Doerr (Zenodo, 2021)

Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks. - Amine Aziz-Alaoui; Carola Doerr; Johann Dréo (Zenodo, 2021)

Tackling Threatening behavior through a Semantic Approach. - Claire Laudy; Simon Fossier; Johann Dréo (FUSION, 2022)

Automated algorithm selection for radar network configuration. - Quentin Renau; Johann Dréo; Alain Peres; Yann Semet; Carola Doerr; Benjamin Doerr (GECCO, 2022)

Interplay of Human and AI Solvers on a Planning Problem. - Afshin Ameri Ekhtiarabadi; Branko Miloradovic; Baran Çürüklü; Alessandro V. Papadopoulos; Mikael Ekström; Johann Dréo (SMC, 2023)

MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front. - Alexandre Quemy; Marc Schoenauer; Johann Dréo (CoRR, 2023)

Reproducible Mapping of Tabular Data into Semantic Knowledge Graphs with OntoWeaver and BioCypher. - Johann Dréo; Claire Laudy; Sebastian Lobentanzer; Marko Baric; Ekaterina Gaydukova; Benno Schwikowski (FUSION, 2024)

Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. - Quentin Renau; Johann Dréo; Emma Hart (GECCO Companion, 2024)

Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms. - Manuel López-Ibáñez 001; Diederick Vermetten; Johann Dréo; Carola Doerr (CoRR, 2024)

Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. - Quentin Renau; Johann Dréo; Emma Hart (Zenodo, 2024)